#ai in education

[aiweirdness]

Shaped like information

hey look it's a guide to basic shapes!

The fact that even a kindergartener can call out this DALL-E3 generated image as nonsense doesn't mean that it's an unusually bad example of AI-generated imagery. It's just what happens when the usual AI-generated information intersects with an area where most people are experts.

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[sempermoi]

Rant about generative AI in education and in general under the cut because I'm worried and frustrated and I needed to write it out in a small essay:

So, context: I am a teacher in Belgium, Flanders. I am now teaching English (as a second language), but have also taught history and Dutch (as a native language). All in secondary education, ages 12-16.

More and more I see educational experts endorse ai being used in education and of course the most used tools are the free, generative ones. Today, one of the colleagues responsible for the IT of my school went to an educational lecture where they once again vouched for the use of ai.

Now their keyword is that it should always be used in a responsible manner, but the issue is... can it be?

1. Environmentally speaking, ai has been a nightmare. Not only does it have an alarming impact on emission levels, but also on the toxic waste that's left behind. Not to mention the scarcity of GPUs caused by the surge of ai in the past few years. Even sources that would vouch for ai have raised concerns about the impact it has on our collective health. sources: here, here and here

2. Then there's the issue with what the tools are trained on and this in multiple ways:

Many of the free tools that the public uses is trained on content available across the internet. However, it is at this point common knowledge (I'd hope) that most creators of the original content (writers, artists, other creative content creators, researchers, etc.) were never asked for permission and so it has all been stolen. Many social media platforms will often allow ai training on them without explicitly telling the user-base or will push it as the default setting and make it difficult for their user-base to opt out. Deviantart, for example, lost much of its reputation when it implemented such a policy. It had to backtrack in 2022 afterwards because of the overwhelming backlash. The problem is then that since the content has been ripped from their context and no longer made by a human, many governments therefore can no longer see it as copyrighted. Which, yes, luckily also means that ai users are legally often not allowed to pass off ai as 'their own creation'. Sources: here, here

Then there's the working of generative ai in general. As said before, it simply rips words or image parts from their original, nuanced context and then mesh it together without the user being able to accurately trace back where the info is coming from. A tool like ChatGPT is not a search engine, yet many people use it that way without realising it is not the same thing at all. More on the working of generative ai in detail. Because of how it works, it means there is always a chance for things to be biased and/or inaccurate. If a tool has been trained on social media sources (which ChatGPT for example is) then its responses can easily be skewed to the demographic it's been observing. Bias is an issue is most sources when doing research, but if you have the original source you also have the context of the source. Ai makes it that the original context is no longer clear to the user and so bias can be overlooked and go unnoticed much easier. Source: here

3. Something my colleague mentioned they said in the lecture is that ai tools can be used to help the learning of the students.

Let me start off by saying that I can understand why there is an appeal to ai when you do not know much about the issues I have already mentioned. I am very aware it is probably too late to fully stop the wave of ai tools being published.

There are certain uses to types of ai that can indeed help with accessibility. Such as text-to-voice or the other way around for people with disabilities (let's hope the voice was ethically begotten).

But many of the other uses mentioned in the lecture I have concerns with. They are to do with recognising learning, studying and wellbeing patterns of students. Not only do I not think it is really possible to data-fy the complexity of each and every single student you would have as they are still actively developing as a young person, this also poses privacy risks in case the data is ever compromised. Not to mention that ai is often still faulty and, as it is not a person, will often still make mistakes when faced with how unpredictable a human brain can be. We do not all follow predictable patterns.

The lecture stated that ai tools could help with neurodivergency 'issues'. Obviously I do not speak for others and this next part is purely personal opinion, but I do think it important to nuance this: as someone with auDHD, no ai-tool has been able to help me with my executive dysfunction in the long-term. At first, there is the novelty of the app or tool and I am very motivated. They are often in the form of over-elaborate to-do lists with scheduled alarms. And then the issue arises: the ai tries to train itself on my presented routine... except I don't have one. There is no routine to train itself on, because that is my very problem I am struggling with. Very quickly it always becomes clear that the ai doesn't understand this the way a human mind would. A professionally trained in psychology/therapy human mind. And all I was ever left with was the feeling of even more frustration.

In my opinion, what would help way more than any ai tool would be the funding of mental health care and making it that going to a therapist or psychiatrist or coach is covered by health care the way I only have to pay 5 euros to my doctor while my health care provider pays the rest. (In Belgium) This would make mental health care much more accessible and would have a greater impact than faulty ai tools.

4. It was also said that ai could help students with creative assignments and preparing for spoken interactions both in their native language as well as in the learning of a new one.

I wholeheartedly disagree. Creativity in its essence is about the person creating something from their own mind and putting the effort in to translate those ideas into their medium of choice. Stick figures on lined course paper are more creative than letting a tool like Midjourney generate an image based on stolen content. How are we teaching students to be creative when we allow them to not put a thought in what they want to say and let an ai do it for them?

And since many of these tools are also faulty and biased in their content, how could they accurately replace conversations with real people? Ai cannot fully understand the complexities of language and all the nuances of the contexts around it. Body language, word choice, tone, volume, regional differences, etc.

And as a language teacher, I can truly say there is nothing more frustrating than wanting to assess the writing level of my students, giving them a writing assignment where they need to express their opinion and write it in two tiny paragraphs... and getting an ai response back. Before anyone comes to me saying that my students may simply be very good at English. Indeed, but my current students are not. They are precious, but their English skills are very flawed. It is very easy to see when they wrote it or ChatGPT. It is not only frustrating to not being able to trust part of your students' honesty and knowing they learned nothing from the assignment cause you can't give any feedback; it is almost offensive that they think I wouldn't notice it.

5. Apparently, it was mentioned in the lecture that in schools where ai is banned currently, students are fearful that their jobs would be taken away by ai and that in schools where ai was allowed that students had much more positive interactions with technology.

First off, I was not able to see the source and data that this statement was based on. However, I personally cannot shake the feeling there's a data bias in there. Of course students will feel more positively towards ai if they're not told about all the concerns around it.

Secondly, the fact that in the lecture it was (reportedly) framed that being scared your job would disappear because of ai, was untrue is... infuriating. Because it already is becoming a reality. Let's not forget what partially caused the SAG-AFTRA strike in 2023. Corporations see an easy (read: cheap) way to get marketable content by using ai at the cost of the creative professionals. Unregulated ai use by businesses causing the loss of jobs for real-life humans, is very much a threat. Dismissing this is basically lying to young students.

6. My conclusion:

I am frustrated. It's clamoured that we, as teachers, should educate more about ai and it's responsible use. However, at the same time the many concerns and issues around most of the accessible ai tools are swept under the rug and not actively talked about.

I find the constant surging rise of generative ai everywhere very concerning and I can only hope that more people will start seeing it too.

Thank you for reading.

[wistfulcynic]

i teach english as a foreign language to corporate clients. What that means is that companies hire the school i contract for to enrol their employees in courses that include a run of online grammar, vocabulary, listening, and reading exercises; accompanying speaking classes with a teacher (that's where i come in); and supplementary "skills" exercises including writing.

the *only* one of these that matters to their ultimate success or failure in their course is the online exercises. That's bad for a number of reasons i won't bore you with but tl;dr the students "pass" the class if they complete the online course.

which means that the supplementary writing exercises have ZERO impact on their success or failure. They aren't even required. The ONLY reason to complete them is to practice writing as a skill and get feedback from a teacher (me et al). Mistakes are corrected but never criticised. This isn't a scenario where anyone loses face by using the wrong preposition or verb tense. It's an opportunity to practice and improve, that's all.

and yet. Increasingly i am getting writing assignments that are clearly, obviously written by genAI. They are grammatically flawless in a way that is impossible for students at the levels i teach to produce. Which means there's nothing to correct. No feedback to give. No learning opportunity whatsoever.

my school's policy is just to ignore this. Our students aren't students in the traditional sense, they are clients. More precisely, they're employees of clients but the effect is the same. Their employers are paying us for the expertise, guidance, etc that we can provide and if they choose not to make full use of what we offer then that's their call.

still it pisses me off. Because why. Why use genAI to complete an optional exercise that has no impact on your ultimate course success? There is zero reason to do that. No benefit to anyone. The students learn nothing and i get paid to make up some bullshit "feedback" to a paragraph i know the student didn't write. Why? Why waste all our time with an obvious farce?

(i mean, i know why. Because it's easy. Because they believe that the product and not the process is what's important. Because they don't want to learn, they want to have learned. They are the ones who are always trying to get me to reveal some secret magic trick that will make them able to speak perfectly without them putting any effort into it whatsoever. They are, if i tell the stark honest truth, on the whole not people i can help.)

this is, ultimately, why i am against any and all use of genAI in education. Full stop. There's simply no pedagogical benefit to it. The learning process involves trying, failing, receiving correction, and then trying again. Over and over and over if necessary. We have already seriously damaged this process by caring only about results--test scores, essay marks, etc, achieved by any means necessary--and forgetting both as students and teachers that failure (or at least not perfect success the very first time) is an essential element of learning. Use of genAI skips over the learning process entirely. It basically finishes what years of over-testing and grade inflation started. It's bad and it's wrong and it accomplishes nothing other than giving people more of an excuse not to think for themselves, not to try, not to learn.

it needs to be stopped.

[projectilecry]

i keep seeing people everywhere sing the praises of ai and suggest using it for all sorts of things and it just makes me so sad and angry. college professors suggesting to use it. resume specialist suggesting using it to get your resume done. therapist saying they use it all the time for things. people saying it’s a legitimate accessibility aid. so many people who just have no criticism or qualms about ai. so many people who have been dazzled by it enough to not actually think about what it is and it’s impacts. at this point i’d rather people be actually educated about it but just disagree with me and not think that it’s a dangerous thing than have them just legitimately unaware. because at least then they know. they know what’s even happening. but so many people don’t, they just see some magic thing that can solve their problems without them having to think, and they use it. they don’t ever stop to think about what they’re doing or what they’re promoting. it just makes me sad.

[getmoneymethods]

Future of AI: Predictions and Trends in Artificial Intelligence

Introduction: Exploring the Exciting Future of AI

Artificial Intelligence (AI) has become an integral part of our lives, revolutionizing the way we work, communicate, and interact with technology. As we delve into the future of AI, it is essential to understand the predictions and trends that will shape this rapidly evolving field. From machine learning to predictive analytics, natural language processing to robotics, and deep learning to ethical considerations, the possibilities seem limitless. In this article, we will explore the exciting future of AI and its potential impact on various industries and aspects of our lives.

The Rise of Machine Learning: How AI is Evolving

Machine learning, a subset of AI, has been a driving force behind the advancements we have witnessed in recent years. It involves training algorithms to learn from data and make predictions or decisions without explicit programming. As we move forward, machine learning is expected to become even more sophisticated, enabling AI systems to adapt and improve their performance over time.

One of the key trends in machine learning is the rise of deep learning, a technique inspired by the structure and function of the human brain. Deep learning algorithms, known as neural networks, are capable of processing vast amounts of data and extracting meaningful patterns. This has led to significant breakthroughs in areas such as image recognition, natural language processing, and autonomous vehicles.

Predictive Analytics: Unleashing the Power of AI in Decision-Making

Predictive analytics, powered by AI, is transforming the way organizations make decisions. By analyzing historical data and identifying patterns, AI systems can predict future outcomes and provide valuable insights. This enables businesses to optimize their operations, improve customer experiences, and make data-driven decisions.

In the future, predictive analytics is expected to become even more accurate and efficient, thanks to advancements in machine learning algorithms and the availability of vast amounts of data. For example, AI-powered predictive analytics can help healthcare providers identify patients at risk of developing certain diseases, allowing for early intervention and personalized treatment plans.

Natural Language Processing: Revolutionizing Human-Computer Interaction

Natural Language Processing (NLP) is a branch of AI that focuses on enabling computers to understand and interact with human language. From voice assistants like Siri and Alexa to chatbots and language translation tools, NLP has already made significant strides in improving human-computer interaction.

In the future, NLP is expected to become even more advanced, enabling computers to understand context, emotions, and nuances in human language. This will open up new possibilities for virtual assistants, customer service bots, and language translation tools, making communication with technology more seamless and natural.

Robotics and Automation: AI's Impact on Industries and Jobs

AI-powered robotics and automation have the potential to revolutionize industries and reshape the job market. From manufacturing and logistics to healthcare and agriculture, robots and automated systems are already making significant contributions.

In the future, we can expect to see more advanced robots capable of performing complex tasks with precision and efficiency. This will lead to increased productivity, cost savings, and improved safety in various industries. However, it also raises concerns about job displacement and the need for reskilling and upskilling the workforce to adapt to the changing job landscape.

Deep Learning: Unlocking the Potential of Neural Networks

Deep learning, a subset of machine learning, has gained immense popularity in recent years due to its ability to process and analyze complex data. Neural networks, the foundation of deep learning, are composed of interconnected layers of artificial neurons that mimic the structure of the human brain.

The future of deep learning holds great promise, with potential applications in fields such as healthcare, finance, and cybersecurity. For example, deep learning algorithms can analyze medical images to detect diseases at an early stage, predict stock market trends, and identify anomalies in network traffic to prevent cyberattacks.

Ethical Considerations: Addressing the Challenges of AI Development

As AI continues to advance, it is crucial to address the ethical considerations associated with its development and deployment. Issues such as bias in algorithms, privacy concerns, and the impact on jobs and society need to be carefully considered.

To ensure the responsible development and use of AI, organizations and policymakers must establish ethical guidelines and regulations. Transparency, accountability, and inclusivity should be at the forefront of AI development, ensuring that the benefits of AI are accessible to all while minimizing potential risks.

AI in Healthcare: Transforming the Medical Landscape

AI has the potential to revolutionize healthcare by improving diagnosis, treatment, and patient care. From analyzing medical images to predicting disease outcomes, AI-powered systems can assist healthcare professionals in making more accurate and timely decisions.

In the future, AI is expected to play an even more significant role in healthcare. For example, AI algorithms can analyze genomic data to personalize treatment plans, predict disease outbreaks, and assist in drug discovery. This will lead to improved patient outcomes, reduced healthcare costs, and enhanced overall healthcare delivery.

Smart Cities: How AI is Shaping Urban Living

AI is transforming cities into smart, connected ecosystems, enhancing efficiency, sustainability, and quality of life. From traffic management and energy optimization to waste management and public safety, AI-powered systems can analyze vast amounts of data and make real-time decisions to improve urban living.

In the future, smart cities will become even more intelligent, leveraging AI to optimize resource allocation, reduce congestion, and enhance citizen services. For example, AI-powered sensors can monitor air quality and automatically adjust traffic flow to reduce pollution levels. This will lead to more sustainable and livable cities for future generations.

AI in Education: Enhancing Learning and Personalization

AI has the potential to revolutionize education by personalizing learning experiences, improving student outcomes, and enabling lifelong learning. Adaptive learning platforms powered by AI can analyze student data and provide personalized recommendations and feedback.

In the future, AI will play a more significant role in education, enabling personalized learning paths, intelligent tutoring systems, and automated grading. This will empower students to learn at their own pace, bridge learning gaps, and acquire the skills needed for the future job market.

Cybersecurity: Battling the Dark Side of AI

While AI offers numerous benefits, it also poses significant challenges in the realm of cybersecurity. As AI becomes more sophisticated, cybercriminals can exploit its capabilities to launch more advanced and targeted attacks.

To combat the dark side of AI, cybersecurity professionals must leverage AI-powered tools and techniques to detect and prevent cyber threats. AI algorithms can analyze network traffic, identify patterns of malicious behavior, and respond in real-time to mitigate risks. Additionally, organizations must invest in cybersecurity training and education to stay ahead of evolving threats.

Conclusion: Embracing the Future of AI and Its Limitless Possibilities

The future of AI is filled with exciting possibilities that have the potential to transform industries, enhance our daily lives, and address some of the world's most pressing challenges. From machine learning and predictive analytics to natural language processing and robotics, AI is evolving at a rapid pace.

However, as we embrace the future of AI, it is crucial to address ethical considerations, ensure transparency and accountability, and prioritize inclusivity. By doing so, we can harness the power of AI to create a better future for all.

As AI continues to advance, it is essential for individuals, organizations, and policymakers to stay informed about the latest trends and developments. By understanding the potential of AI and its impact on various sectors, we can make informed decisions and leverage its capabilities to drive innovation and positive change.

The future of AI is bright, and by embracing it with an open mind and a focus on responsible development, we can unlock its limitless possibilities and shape a better future for generations to come.

[mmainulhasan]

Prompt Examples for Learning Web Development

Coding is both an art and a science. It’s about creatively solving problems, bringing ideas to life, and constantly learning and adapting.

Because technology advances at such a rapid pace, it is essential to be fluent in a variety of languages, tools, and domains.

Sometimes it’s difficult to pick up the right resources from the ocean of tutorials, demos, and resources.

And on top of that, sometimes we have to learn and apply so fast due to tight deadlines of the projects. In this case, we need a friend who can help us learn and work faster and better. And thanks to AI by this, our learning becomes faster and more fun.

Today, we’ll look at how learning prompts that AI drives can change the way you learn web development.

How you can craft prompt engineering for web development, the difference between a generic prompt and a bit tweaked prompt can eventually change your desired results and make your learning journey more smooth and more enjoyable.

You can also use this knowledge to learn other fields more quickly and interactively.

Table of Contents

Learning Prompts

HTML Prompt Examples

CSS Prompt Examples

Debugging Prompts

Testing Prompts

Crafting Better Prompts

Further Reading and Resources

🎯Learning Prompts

Prompts are at the heart of AI-powered learning. Prompts are questions or commands that guide AI models like GPT-3 or GPT-4 to generate the desired responses. They act as a springboard for the AI to dive into the knowledge it’s been trained on and come up with relevant outputs.

You can use AI’s capabilities in a variety of scenarios in web development, including debugging, code generation, and even learning new web development concepts.

Now, we’ll go through some basic prompts and their outputs, as well as a little tweaking of the prompt commands to see how the output is becoming more result oriented, giving you a sense of how you may build your prompt commands for better results.

Prompt Commands for Learning HTML Basics

Learning the basics of web development involves understanding the structure and syntax of HTML, CSS, and JavaScript. Here are some prompt examples you can use:

Create a simple HTML structure with a header, main content section, and footer.

This prompt returns a simple HTML skeleton. But if you want a more detailed structure, you could modify the prompt to include specific HTML elements. For example:

Create a simple HTML structure with a header containing a navigation bar, a main content section with a paragraph and an image, and a footer with copyright information.

Curious to know more? Visit our blog for the complete post and dive deeper into Learning Web Development with AI Prompts.

[victusinveritas]

[gauravinsights]

Mihai Flueraru: Transforming Education Through Innovation and Inclusivity

The Future of Education: A Visionary Leader Making an Impact

Education is undergoing a transformation, and entrepreneurial leaders like Mihai Flueraru are at the forefront of this change. Recognized by The Education View as one of the Most Influential Entrepreneurs in the UK to Follow in 2025, Mihai is breaking barriers and reshaping how students access and experience education. As the Company Director of EnrollMate, his mission is to bridge educational gaps, making learning more inclusive, accessible, and personalized.

Rethinking Traditional Education

For decades, traditional education models have been rigid and, at times, inaccessible to many students. Mihai Flueraru believes that education should be flexible and inclusive, allowing students to thrive regardless of their background. His approach focuses on critical thinking, creativity, and adaptability — essential skills in today’s fast-evolving world.

Technology plays a pivotal role in Mihai’s mission. With advancements in Artificial Intelligence (AI), Machine Learning (ML), and data analysis, EnrollMate creates personalized learning experiences tailored to each student’s needs. These innovations help students receive real-time feedback, ensuring continuous improvement and better learning outcomes.

From Humble Beginnings to Groundbreaking Change

Mihai’s journey is nothing short of inspiring. As an immigrant arriving in the UK with little more than hope, he faced significant challenges navigating the complex education system. Struggling with university applications and financial aid processes, he realized that countless other students faced similar barriers. This personal struggle led to the creation of EnrollMate, a platform designed to simplify and streamline the education journey for immigrants and mature students.

His firsthand experience with these challenges instilled a deep sense of empathy, shaping his approach to education consulting. Today, Mihai Flueraru ensures that students receive clear, step-by-step guidance, empowering them with knowledge and confidence to succeed.

Bridging the Educational Gaps with Personalized Support

One of the biggest hurdles students face is the lack of personalized support. While educational institutions focus on academic success, emotional development and resilience often take a backseat. Mihai’s vision extends beyond traditional academics — he champions an approach that incorporates both intellectual and emotional growth.

At EnrollMate, students don’t just receive educational consulting; they gain mentorship and life coaching. Mihai and his team provide personalized support through check-ins, coaching sessions, and adaptive learning strategies, ensuring each student feels seen, heard, and valued.

Balancing Leadership and Personal Connections

Running a successful consultancy while maintaining meaningful relationships with students is no easy feat. Yet Mihai Flueraru seamlessly balances both. He has built a strong, dedicated team at EnrollMate and integrated technology to handle administrative tasks efficiently, allowing more time for personal engagement with students.

Despite his leadership responsibilities, Mihai remains actively involved in each student’s journey. His hands-on approach ensures that no one feels lost in the system. By fostering a culture of continuous support and adaptability, he ensures that every student receives the tools they need to thrive.

The Role of Family and Support in His Journey

Behind every successful entrepreneur is a strong support system. Mihai attributes much of his success to his wife, Nicoleta, whose unwavering encouragement has been a driving force throughout his journey. Her dedication and belief in his mission have played an invaluable role in the growth and success of EnrollMate.

Recognizing the importance of family and emotional well-being, Mihai incorporates these values into his approach at EnrollMate, ensuring that students are not only equipped with knowledge but also the emotional strength to pursue their dreams.

The Future of EnrollMate: AI-Powered Education Consulting

With a clear vision for the future, Mihai Flueraru plans to expand EnrollMate’s reach by leveraging advanced AI tools. His goal is to set a new standard in education consulting, offering students an even more personalized and impactful learning experience.

By integrating AI-driven analytics and adaptive learning models, EnrollMate will be able to provide real-time insights, tailor-made study plans, and predictive success metrics. This will further empower students to make informed decisions about their education and career paths.

A Legacy of Impact and Inspiration

The recognition of Mihai Flueraru as one of the Most Influential Entrepreneurs in the UK to Follow in 2025 is a testament to his unwavering dedication and innovative mindset. His journey from an immigrant facing educational challenges to a leader transforming the education sector serves as an inspiration to students, educators, and entrepreneurs alike.

Through EnrollMate, Mihai continues to break down barriers, making education more accessible and empowering individuals to unlock their full potential. As he paves the way for the future of education consulting, one thing is certain his impact will be felt for generations to come.

Contact Us :- https://educationviewmagazine.com/contact-us/

[educationday]

How to protect and, ideally, elevate human agency in an age of technological acceleration and expanding automation? 

Agenda programme of the International Day of Education 2025.

Morning plenary sessions Room I – Watch online

10:00 – 10:15 - Welcome remarks

10:15 – 10:45 - Ideas in dialogue: AI and education: Preserving human agency in a world of automation

10:45 – 11:20 - Fireside chat: AI integration in schools: Lessons from early adopters

11:45 – 13:00 - High level panel: Preserving human agency in an AI era: Stakeholder responses

Breakout sessions 14:30 – 16:00 

1: Enhancing decision-making in education: How can we balance AI automation with human judgment? Room IX – Register to attend online

2: How can the agency of teachers be cultivated in AI adoption? Room IV

3: What does the rise of AI in higher education mean for human agency? Room VIII

4: Skilling for the AI era: What does the future demand? Room XII – Register to attend online

Room VIII – Register to attend online

Closing plenary session: Towards human-centred AI in education  16:15 – 17:00 Room I – Watch online

International Day of Education 2025.

[jcmarchi]

Western Bias in AI: Why Global Perspectives Are Missing

New Post has been published on https://thedigitalinsider.com/western-bias-in-ai-why-global-perspectives-are-missing/

Western Bias in AI: Why Global Perspectives Are Missing

An AI assistant gives an irrelevant or confusing response to a simple question, revealing a significant issue as it struggles to understand cultural nuances or language patterns outside its training. This scenario is typical for billions of people who depend on AI for essential services like healthcare, education, or job support. For many, these tools fall short, often misrepresenting or excluding their needs entirely.

AI systems are primarily driven by Western languages, cultures, and perspectives, creating a narrow and incomplete world representation. These systems, built on biased datasets and algorithms, fail to reflect the diversity of global populations. The impact goes beyond technical limitations, reinforcing societal inequalities and deepening divides. Addressing this imbalance is essential to realize and utilize AI’s potential to serve all of humanity rather than only a privileged few.

Understanding the Roots of AI Bias

AI bias is not simply an error or oversight. It arises from how AI systems are designed and developed. Historically, AI research and innovation have been mainly concentrated in Western countries. This concentration has resulted in the dominance of English as the primary language for academic publications, datasets, and technological frameworks. Consequently, the foundational design of AI systems often fails to include the diversity of global cultures and languages, leaving vast regions underrepresented.

Bias in AI typically can be categorized into algorithmic bias and data-driven bias. Algorithmic bias occurs when the logic and rules within an AI model favor specific outcomes or populations. For example, hiring algorithms trained on historical employment data may inadvertently favor specific demographics, reinforcing systemic discrimination.

Data-driven bias, on the other hand, stems from using datasets that reflect existing societal inequalities. Facial recognition technology, for instance, frequently performs better on lighter-skinned individuals because the training datasets are primarily composed of images from Western regions.

A 2023 report by the AI Now Institute highlighted the concentration of AI development and power in Western nations, particularly the United States and Europe, where major tech companies dominate the field. Similarly, the 2023 AI Index Report by Stanford University highlights the significant contributions of these regions to global AI research and development, reflecting a clear Western dominance in datasets and innovation.

This structural imbalance demands the urgent need for AI systems to adopt more inclusive approaches that represent the diverse perspectives and realities of the global population.

The Global Impact of Cultural and Geographic Disparities in AI

The dominance of Western-centric datasets has created significant cultural and geographic biases in AI systems, which has limited their effectiveness for diverse populations. Virtual assistants, for example, may easily recognize idiomatic expressions or references common in Western societies but often fail to respond accurately to users from other cultural backgrounds. A question about a local tradition might receive a vague or incorrect response, reflecting the system’s lack of cultural awareness.

These biases extend beyond cultural misrepresentation and are further amplified by geographic disparities. Most AI training data comes from urban, well-connected regions in North America and Europe and does not sufficiently include rural areas and developing nations. This has severe consequences in critical sectors.

Agricultural AI tools designed to predict crop yields or detect pests often fail in regions like Sub-Saharan Africa or Southeast Asia because these systems are not adapted to these areas’ unique environmental conditions and farming practices. Similarly, healthcare AI systems, typically trained on data from Western hospitals, struggle to deliver accurate diagnoses for populations in other parts of the world. Research has shown that dermatology AI models trained primarily on lighter skin tones perform significantly worse when tested on diverse skin types. For instance, a 2021 study found that AI models for skin disease detection experienced a 29-40% drop in accuracy when applied to datasets that included darker skin tones. These issues transcend technical limitations, reflecting the urgent need for more inclusive data to save lives and improve global health outcomes.

The societal implications of this bias are far-reaching. AI systems designed to empower individuals often create barriers instead. Educational platforms powered by AI tend to prioritize Western curricula, leaving students in other regions without access to relevant or localized resources. Language tools frequently fail to capture the complexity of local dialects and cultural expressions, rendering them ineffective for vast segments of the global population.

Bias in AI can reinforce harmful assumptions and deepen systemic inequalities. Facial recognition technology, for instance, has faced criticism for higher error rates among ethnic minorities, leading to serious real-world consequences. In 2020, Robert Williams, a Black man, was wrongfully arrested in Detroit due to a faulty facial recognition match, which highlights the societal impact of such technological biases.

Economically, neglecting global diversity in AI development can limit innovation and reduce market opportunities. Companies that fail to account for diverse perspectives risk alienating large segments of potential users. A 2023 McKinsey report estimated that generative AI could contribute between $2.6 trillion and $4.4 trillion annually to the global economy. However, realizing this potential depends on creating inclusive AI systems that cater to diverse populations worldwide.

By addressing biases and expanding representation in AI development, companies can discover new markets, drive innovation, and ensure that the benefits of AI are shared equitably across all regions. This highlights the economic imperative of building AI systems that effectively reflect and serve the global population.

Language as a Barrier to Inclusivity

Languages are deeply tied to culture, identity, and community, yet AI systems often fail to reflect this diversity. Most AI tools, including virtual assistants and chatbots, perform well in a few widely spoken languages and overlook the less-represented ones. This imbalance means that Indigenous languages, regional dialects, and minority languages are rarely supported, further marginalizing the communities that speak them.

While tools like Google Translate have transformed communication, they still struggle with many languages, especially those with complex grammar or limited digital presence. This exclusion means that millions of AI-powered tools remain inaccessible or ineffective, widening the digital divide. A 2023 UNESCO report revealed that over 40% of the world’s languages are at risk of disappearing, and their absence from AI systems amplifies this loss.

AI systems reinforce Western dominance in technology by prioritizing only a tiny fraction of the world’s linguistic diversity. Addressing this gap is essential to ensure that AI becomes truly inclusive and serves communities across the globe, regardless of the language they speak.

Addressing Western Bias in AI

Fixing Western bias in AI requires significantly changing how AI systems are designed and trained. The first step is to create more diverse datasets. AI needs multilingual, multicultural, and regionally representative data to serve people worldwide. Projects like Masakhane, which supports African languages, and AI4Bharat, which focuses on Indian languages, are great examples of how inclusive AI development can succeed.

Technology can also help solve the problem. Federated learning allows data collection and training from underrepresented regions without risking privacy. Explainable AI tools make spotting and correcting biases in real time easier. However, technology alone is not enough. Governments, private organizations, and researchers must work together to fill the gaps.

Laws and policies also play a key role. Governments must enforce rules that require diverse data in AI training. They should hold companies accountable for biased outcomes. At the same time, advocacy groups can raise awareness and push for change. These actions ensure that AI systems represent the world’s diversity and serve everyone fairly.

Moreover, collaboration is as equally important as technology and regulations. Developers and researchers from underserved regions must be part of the AI creation process. Their insights ensure AI tools are culturally relevant and practical for different communities. Tech companies also have a responsibility to invest in these regions. This means funding local research, hiring diverse teams, and creating partnerships that focus on inclusion.

The Bottom Line

AI has the potential to transform lives, bridge gaps, and create opportunities, but only if it works for everyone. When AI systems overlook the rich diversity of cultures, languages, and perspectives worldwide, they fail to deliver on their promise. The issue of Western bias in AI is not just a technical flaw but an issue that demands urgent attention. By prioritizing inclusivity in design, data, and development, AI can become a tool that uplifts all communities, not just a privileged few.

[lithika-b]

Technological Interventions by NGOs to Support Girl Child Education

Education is a transformative tool, and its significance is even more profound when it comes to empowering young girls. Across the globe, millions of girls face barriers to education due to socio-economic, cultural, and infrastructural challenges. NGOs dedicated to supporting girl child education are playing a pivotal role in addressing these challenges, often leveraging technology to make a greater impact. Among these, Nanhikali stands out as a shining example of an NGO for girl child education, driving change through innovative methods.

The Role of Technology in Bridging Educational Gaps

The integration of technology into educational initiatives has proven to be a game-changer, especially for marginalized communities. Here’s how NGOs are using technological interventions to uplift the education of the girl child:

E-Learning Platforms Many NGOs are developing and implementing e-learning platforms tailored to meet the unique needs of underprivileged girls. These platforms provide access to quality educational content, even in remote areas. For instance, Nanhi Kali’s digital learning program ensures that girls from marginalized communities have access to interactive and engaging educational tools, helping them bridge learning gaps.

EdTech Devices NGOs are distributing tablets, smartphones, and other devices pre-loaded with educational apps and offline content. These devices are equipped with interactive modules, videos, and quizzes to make learning more engaging. This approach ensures that girls can continue their education, even in areas with limited or no internet connectivity.

AI and Personalized Learning Artificial intelligence (AI) is being used to tailor educational content to the individual learning pace and style of each student. Personalized learning ensures that girls who may have missed school or have varying levels of comprehension can catch up without feeling left behind.

Virtual Classrooms Virtual classrooms enable girls in remote locations to attend live classes conducted by qualified teachers. NGOs are partnering with tech companies to provide the necessary infrastructure and ensure a seamless learning experience.

Community Learning Centers NGOs like Nanhikali are setting up community learning centers equipped with digital tools. These centers serve as safe spaces where girls can study, access the internet, and receive mentorship and guidance.

Addressing Broader Challenges with Technology

Technology is not just limited to delivering educational content; it also helps tackle other barriers to education:

Tracking Attendance and Performance: Digital tools allow NGOs to monitor attendance and academic progress, enabling them to provide timely interventions when needed.

Awareness Campaigns: Mobile apps and social media platforms are used to spread awareness about the importance of girl child education, challenging traditional norms and mindsets.

Safety and Support: NGOs are leveraging technology to create platforms where girls can report safety concerns and seek support, fostering an environment that encourages consistent school attendance.

Nanhi Kali: A Beacon of Hope

Established with the vision of empowering underprivileged girls through education, Nanhikali has become synonymous with impactful and sustainable interventions. The organization combines academic support with material assistance to ensure holistic development for girls. Their use of technology, from e-learning tools to robust monitoring systems, ensures that no girl is left behind.

Through partnerships with corporates and communities, Nanhikali has successfully transformed the lives of thousands of girls, helping them break free from the cycle of poverty and discrimination.

The Way Forward

While significant strides have been made, the journey to universal girl child education is far from over. NGOs must continue to innovate and collaborate with technology providers, governments, and local communities to scale their efforts. Initiatives like those by Nanhikali demonstrate that with the right tools and determination, we can create a future where every girl has the opportunity to learn, grow, and thrive.

By supporting an NGO for girl child education, you too can contribute to building a more equitable and empowered world. Together, let’s ensure that technology and education reach every girl, no matter where she is.

[thisisgraeme]

Taking Action with AI in Education: Practical AI Applications for Educators (Volume 2)

Kia ora! Volume 2 of our AI in Education guide is out now! This hands-on guide gives educators practical strategies to use AI tools like ChatGPT, personalise learning, and create culturally responsive lessons. Download your copy and start exploring today!

Kia ora anō, koutou! After the release of Volume 1: AI Insights for Educators, I’m excited to share Volume 2: Practical AI Applications for Educators, co-authored with Michael Grawe. While the first volume laid a foundation of understanding around AI in education, this next guide is all about getting your hands dirty — exploring practical, hands-on ways to integrate AI tools into your teaching…

[rahuldasgupta13]

Artificial Intelligence (AI) is rapidly transforming AI in Management Education by bridging the gap between theoretical frameworks and practical applications. Traditionally, management education has relied on lectures, case studies, and group discussions, which, while effective, often emphasize theoretical knowledge over real-world application. This gap can leave students unprepared for the dynamic challenges of the corporate world. The integration of AI addresses these challenges, fostering a more interactive, practical, and insightful learning environment.

AI-powered tools like Intelligent Tutoring Systems (ITS), virtual classrooms, and simulations enable students to apply concepts to real-world scenarios in risk-free environments. These tools help bridge classroom learning with real-world problem-solving. AI also facilitates personalized learning by analyzing individual student needs, allowing instructors to tailor content accordingly. This ensures that students grasp even complex management concepts effectively.

Moreover, AI is streamlining AI in Management Education by automating administrative tasks such as grading, attendance tracking, and scheduling. This allows educators to focus more on teaching and mentorship while ensuring accuracy and efficiency. AI-driven smart grading systems also provide timely and unbiased feedback to students, further enhancing the learning process.

In addition, AI is revolutionizing curriculum development by analyzing industry trends and job market demands. This ensures that the courses offered are aligned with the latest market requirements, helping students acquire the skills needed to thrive in a competitive business environment. AI-enabled communication tools foster global collaboration, allowing students to engage with diverse perspectives through document sharing, project management, and real-time problem-solving.

Through features like virtual simulations, gaming AI systems, and chatbots, AI in Management Education makes learning more interactive and engaging, encouraging application-oriented education. These tools not only bridge the gap between theory and practice but also prepare students to meet the challenges of a fast-evolving corporate landscape.

As AI in Management Education continues to integrate AI-driven technologies, institutions worldwide are embracing a future where learning is more experiential, adaptive, and aligned with industry needs. By combining theoretical knowledge with practical exposure, AI is setting a new benchmark for management education, empowering students to excel in a competitive global business environment.

AI-powered tools like Intelligent Tutoring Systems (ITS), virtual classrooms, and simulations enable students to apply concepts to real-world scenarios in risk-free environments. These tools help bridge classroom learning with real-world problem-solving. AI also facilitates personalized learning by analyzing individual student needs, allowing instructors to tailor content accordingly. This ensures that students grasp even complex management concepts effectively.

Moreover, AI streamlines administrative tasks such as grading, attendance tracking, and scheduling through automation. This allows educators to focus more on teaching and mentorship while ensuring accuracy and efficiency. AI-driven smart grading systems also provide timely and unbiased feedback to students, further enhancing the learning process.

In addition, AI is revolutionizing curriculum development by analyzing industry trends and job market demands. This ensures that the courses offered are aligned with the latest market requirements, helping students acquire the skills needed to thrive in a competitive business environment. AI-enabled communication tools foster global collaboration, allowing students to engage with diverse perspectives through document sharing, project management, and real-time problem-solving.

Through features like virtual simulations, gaming AI systems, and chatbots, AI makes learning more interactive and engaging, encouraging application-oriented education. These tools not only bridge the gap between theory and practice but also prepare students to meet the challenges of a fast-evolving corporate landscape.

As management education continues to integrate AI-driven technologies, institutions worldwide are embracing a future where learning is more experiential, adaptive, and aligned with industry needs. By combining theoretical knowledge with practical exposure, AI is setting a new benchmark for management education, empowering students to excel in a competitive global business environment.