#Ethical AI Deployment.

[mtariqniaz]

The Transformative Benefits of Artificial Intelligence

Title: The Transformative Benefits of Artificial Intelligence Artificial Intelligence (AI) has emerged as one of the most revolutionary technologies of the 21st century. It involves creating intelligent machines that can mimic human cognitive functions such as learning, reasoning, problem-solving, and decision-making. As AI continues to advance, its impact is felt across various industries and…

[jcmarchi]

IBM’s leadership in genAI: Insights from Manav, CTO of IBM Canada

New Post has been published on https://thedigitalinsider.com/ibms-leadership-in-genai-insights-from-manav-cto-of-ibm-canada/

IBM’s leadership in genAI: Insights from Manav, CTO of IBM Canada

At the recent Generative AI Summit in Toronto, I had the opportunity to sit down with Manav Gupta, the CTO from IBM Canada to explore the company’s current work in generative AI and explore their vision for the future. Here are the key insights from our conversation, highlighting IBM’s ecosystem leadership, industry impact, and strategies to navigate challenges in the generative AI landscape.

IBM’s position in the generative AI landscape

Manav began by emphasizing IBM’s commitment to ensuring that enterprises own their AI agenda. He stressed the importance of AI being open and accessible to organizations, individuals, and societies to foster growth. To this end, IBM leads with Watson X, a comprehensive platform that serves as both a model garden and a prompt lab. Watson X allows users to leverage IBM-supplied models, third-party models, or even fine-tune their own models for deployment on their preferred cloud or on-premises infrastructure.

One of the standout features of IBM’s approach is its focus on AI governance. Manav highlighted the critical need for enterprises to ensure that the AI they deploy is free from biases, hate speech, and other ethical concerns. IBM’s governance platform is designed to address these issues, ensuring that generative AI outputs are safe and unbiased.

The transformative impact of generative AI

When asked about the impact of generative AI across industries, Manav was unequivocal in his belief that this technology will touch every sector. He cited estimates that generative AI could add up to 3.5 basis points to global GDP, a staggering figure that underscores its potential. Industries such as banking, healthcare, telecommunications, and the public sector are poised to benefit significantly. 

Banking and Financial Services: Streamlining workflows and enhancing decision-making.

Public Sector and Healthcare: Unlocking data-driven efficiencies and improving service delivery.

Telecommunications: Transforming customer interactions and operational processes.

Manav explained that wherever there is a large corpus of data and existing workflows, generative AI can unlock human potential by automating mundane tasks and allowing employees to focus on higher-value activities.

Challenges in deploying generative AI

Despite the immense potential, Manav acknowledged that deploying generative AI solutions is not without its challenges. One of the primary hurdles is client maturity. Many organizations are still in the experimental phase, trying to understand both the opportunities and the risks associated with this technology. Additionally, integrating generative AI with existing data systems is a significant challenge. Enterprises often have high-quality data, but it is locked in silos across departments such as finance, HR, and procurement. Accessing and unifying this data in a timely manner is a complex task.

Another major challenge is the resource intensity of generative AI. The specialized hardware required to run these models is expensive and often in short supply, leading to long lead times for deployment.

Future trends in generative AI

Looking ahead, Manav foresees several key trends in the generative AI market. He predicts that models will continue to improve, with a shift from large language models (LLMs) to more fit-for-purpose smaller models. These smaller models, often referred to as small language models (SLMs), are more efficient and tailored to specific use cases. Manav also highlighted the rise of agentic AI, where AI systems will have greater autonomy to execute tasks on behalf of humans, particularly in high-value areas like software engineering and testing.

Another trend is the increasing importance of multi-modal models, which can process and generate different types of data, such as images and text. Manav gave an example of how enterprises could use multi-modal models to analyze images and make decisions based on that analysis, opening up new possibilities for automation and efficiency.

Key takeaways from Manav’s presentation

Manav concluded our interview by summarizing the key takeaways from his summit presentation.

Be an AI value creator, not just a consumer. Don’t just use AI—figure out how to make it work for you.

Start with models you can trust. Whether it’s IBM’s Granite models or open-source alternatives, experiment with reliable AI solutions.

Don’t treat AI governance as an afterthought. Privacy, security, and responsible AI should be built into the foundation of your AI strategy.

Watch Manav’s presentation at the Generative AI Summit in Toronto.

IBM’s Granite models and InstructLab

During his presentation, Manav also delved into IBM’s Granite models, a series of open-source foundation models designed for enterprise use. These models, which include specialized versions for time series and geospatial data, are trained on vast amounts of data and are optimized for performance and cost-efficiency.

IBM has also developed InstructLab, a novel methodology for adding enterprise data to LLMs without the need for extensive fine-tuning. This approach allows organizations to iteratively train models on their specific data, ensuring that the AI remains relevant and accurate for their unique use cases.

Conclusion

Manav’s insights underscore IBM’s leadership in the generative AI space, particularly in addressing the challenges of scalability, integration, and governance. As enterprises continue to explore the potential of generative AI, IBM’s Watson X platform and Granite models offer a robust foundation for innovation. With a focus on trust, transparency, and ethical AI, IBM is well-positioned to help organizations navigate the complexities of this transformative technology.

The Generative AI Summit series from the AI Accelerator Institute provides a platform for thought leaders like Manav to share their vision for the future of AI.

[nationallawreview]

White House Publishes Steps to Protect Workers from the Risks of AI

Last year the White House weighed in on the use of artificial intelligence (AI) in businesses. Since the executive order, several government entities including the Department of Labor have released guidance on the use of AI. And now the White House published principles to protect workers when AI is used in the workplace. The principles apply to both the development and deployment of AI systems.…

[specialagentartemis]

Murderbot September Day 4: Holism/University of Mihira and New Tideland

The AI project that gave rise to ART, Holism, and half a dozen other super-intelligent AI ships were made under a fairly secretive government contract from the Mihiran and New Tideland governments. They wanted to encourage the University scientists to push the envelope of AI, to determine what AI could do - partially exploring the boundaries of ethical automated alternatives to human labor or construct use, partially to have some cutting-edge self-defense monitoring in case the corporate polities they share a system with tries to push them around.

(The government still hasn't really come around on "bots are people." That's something the AI lab scientists and ship crews all end up realizing themselves. The ships meanwhile are the property of the university. It's... complicated.)

Only a few AIs were approved for moving onto the final stage, deployment on ships and stations. (They had to be deployed somewhere like a ship or a station to push their full potential - ART and Holism have massive processors that need to be housed somewhere.) Upon being moved to a ship, the AI is allowed to name it. The name gets sent to the University administration for approval, of course. (They don't tell admin that the ship itself chose it. Let's not get into that.) There's no particular name theme for the ships, it's a reflection of whatever the AI loaded into them likes. Perihelion and Holism had a project designation number, a hard feed address, and various nicknames over the years, but when they were installed on the new ships, that's when they chose their ships' - and their - current names.

(Holism thinks Perihelion is a tunnel-visioned nerd for its choice; Perihelion thinks Holism is insufferably self-important for its.)

[emi-matchu]

lmaoooo the big Mozilla statement for the year is very very VERY AI, and only barely mentions Firefox, in the context of making it an exciting AI browser

We are embedding [tech to label product reviews as "fake"] into Firefox and will incorporate AI into the browser and other Mozilla products in ways that can provide real value to users. We see huge potential for AI, but it must be implemented in ways that serve the interests of people and not business. —Mozilla, "State of Mozilla 2023"

also lord help me this shit is so funny, here's their Exciting Business Model

like, look, I'm not saying there's not room in the space for an ethical approach for deploying AI tech—with a radically different approach to training data, regulation, and economic impact than practically all AI tech is using today

but Mozilla is not taking that approach; they're taking an approach that looks superficially "ethical" enough to carve out a niche for themselves as the cool popular good guys, as Mozilla always does

hate it here

(Also my apologies for the link to the statement, it's wildly difficult to use on mobile, I eventually gave up copy-pasting that text because it kept swiping me to other sections instead fml)

reads this then thinks some more about the recent uptick in the Mozilla savior narrative

Firefox certainly isn't scummy like e.g. Brave is now, but like. wanna give it another year or two and see about that?

(more thoughts and context below the cut)

my point here isn't to say that Firefox isn't the best option today in many cases; it's that any plan that doesn't include the fact that Mozilla is also low-key gross is setting people up for failure 😐😭

if you wanna be using a good safe browser, the only working model is to actively pay attention, and be prepared to hop every few years—as it is with all modern software (or to simply accept a certain amount of risk to your privacy & security because you're busy; that's reasonable and choosing the best browser for the greater good isn't a serious moral obligation imo)

currently this is my list of reasonable bets by platform:

Windows: Vivaldi, Firefox

Mac: Safari, Firefox

Linux: Chromium, Firefox

but like. the expiration date on that recommendation is end-of-2024, possibly sooner, depending on when the incentives of their product teams make the usual pivot from pro-user to anti-user

and I think Firefox is one of the most liable to turn earlier than expected, especially as they hurry to position themselves as AI leaders and actively reduce human input in web development…

(note too that I'm making these recs on the assumption that Vivaldi and Linux-packaged Chromium continue to have the ability to turn off or delete the scummiest new Chromium features—so far they've been reliably doing this, but it's possible that their capabilities might change in the coming years, as things get more baked in)

[leonaquitaine]

On the subject of generative AI

Let me start with an apology for deviating from the usual content, and for the wall of text ahead of you. Hopefully, it'll be informative, instructive, and thought-provoking. A couple days ago I released a hastily put-together preset collection as an experiment in 3 aspects of ReShade and virtual photography: MultiLUT to provide a fast, consistent tone to the rendered image, StageDepth for layered textures at different distances, and tone-matching (something that I discussed recently).

For the frames themselves, I used generative AI to create mood boards and provide the visual elements that I later post-processed to create the transparent layers, and worked on creating cohesive LUTs to match the overall tone. As a result, some expressed disappointment and disgust. So let's talk about it.

The concerns of anti-AI groups are significant and must not be overlooked. Fear, which is often justified, serves as a palpable common denominator. While technology is involved, my opinion is that our main concern should be on how companies could misuse it and exclude those most directly affected by decision-making processes.

Throughout history, concerns about technological disruption have been recurring themes, as I can attest from personal experience. Every innovation wave, from typewriters to microcomputers to the shift from analog to digital photography, caused worries about job security and creative control. Astonishingly, even the concept of “Control+Z” (undo) in digital art once drew criticism, with some artists lamenting, “Now you can’t own your mistakes.” Yet, despite initial misgivings and hurdles, these technological advancements have ultimately democratized creative tools, facilitating the widespread adoption of digital photography and design, among other fields.

The history of technology’s disruptive impact is paralleled by its evolution into a democratizing force. Take, for instance, the personal computer: a once-tremendous disruptor that now resides in our pockets, bags, and homes. These devices have empowered modern-day professionals to participate in a global economy and transformed the way we conduct business, pursue education, access entertainment, and communicate with one another.

Labor resistance to technological change has often culminated in defeat. An illustrative example brought up in this NYT article unfolded in 1986 when Rupert Murdoch relocated newspaper production from Fleet Street to a modern facility, leading to the abrupt dismissal of 6,000 workers. Instead of negotiating a gradual transition with worker support, the union’s absolute resistance to the technological change resulted in a loss with no compensation, underscoring the importance of strategic adaptation.

Surprisingly, the Writers Guild of America (W.G.A.) took a different approach when confronted with AI tools like ChatGPT. Rather than seeking an outright ban, they aimed to ensure that if AI was used to enhance writers’ productivity or quality, then guild members would receive a fair share of the benefits. Their efforts bore fruit, providing a promising model for other professional associations.

The crucial insight from these historical instances is that a thorough understanding of technology and strategic action can empower professionals to shape their future. In the current context, addressing AI-related concerns necessitates embracing knowledge, dispelling unwarranted fears, and arriving at negotiation tables equipped with informed decisions.

It's essential to develop and use AI in a responsible and ethical manner; developing safeguards against potential harm is necessary. It is important to have open and transparent conversations about the potential benefits and risks of AI.

Involving workers and other stakeholders in the decision-making process around AI development and deployment is a way to do this. The goal is to make sure AI benefits everyone and not just a chosen few.

While advocates for an outright ban on AI may have the best interests of fellow creatives in mind, unity and informed collaboration among those affected hold the key to ensuring a meaningful future where professionals are fairly compensated for their work. By excluding themselves from the discussion and ostracizing others who share most of their values and goals, they end up weakening chances of meaningful change; we need to understand the technology, its possibilities, and how it can be steered toward benefitting those they source from. And that involves practical experimentation, too. Carl Sagan, in his book 'The Demon-Haunted World: Science as a Candle in the Dark', said:

"I have a foreboding […] when the United States is a service and information economy; when nearly all the manufacturing industries have slipped away to other countries; when awesome technological powers are in the hands of a very few, and no one representing the public interest can even grasp the issues; when the people have lost the ability to set their own agendas or knowledgeably question those in authority; when, clutching our crystals and nervously consulting our horoscopes, our critical faculties in decline, unable to distinguish between what feels good and what's true, we slide, almost without noticing, back into superstition and darkness."

In a more personal tone, I'm proud to be married to a wonderful woman - an artist who has her physical artwork in all 50 US states, and several pieces sold around the world. For the last few years she has been studying and adapting her knowledge from analog to digital art, a fact that deeply inspired me to translate real photography practices to the virtual world of Eorzea. In the last months, she has been digging deep into generative AI in order to understand not only how it'll impact her professional life, but also how it can merge with her knowledge so it can enrich and benefit her art; this effort gives her the necessary clarity to voice her concerns, make her own choices and set her own agenda. I wish more people could see how useful her willingness and courage to dive into new technologies in order to understand their impact could be to help shape their own futures.

By comprehending AI and adopting a collective approach, we can transform the current challenges into opportunities. The democratization and responsible utilization of AI can herald a brighter future, where technology becomes a tool for empowerment and unity prevails over division. And now, let's go back to posting about pretty things.

[a3thernet]

ATH 2091-5

or: the Halo/COD AU I started to write after a fever induced day listening to hours of Halo retrospectives. if i've made any errors, or decide to get weird with it (which I def will) don't judge universe inconsistencies - vibes and a small dose of Halopedia ok bye

f!readerxGhost

also it goes without saying but i hate ai, sorry to make you one in this.

Dr. Laswell gives you free reign shortly after ‘waking’ with vague instructions to observe and learn. You transport yourself along cables and systems throughout the base to get a better understanding of the operations, the faces, the data.

The data.

It’s more than a girl could possibly ask for.

It takes only seconds to surmise that you are at the operations center stationed on Onyx. The base is under highest clearance protocols and is home to the SPARTAN III program. Super soldiers, taken in from orphanages that now overflowed with children, as a result of the war against the Covenant. 

You spend less than an hour outside of the lab on your first day. 

“It is unethical, Kate.”

Dr. Laswell is busy monitoring your internal components, you feel her pulling the data you are currently plugged into. You see what she sees. “There is little room for ethics in war.”

You assume the form of a faceless female within the center console of the lab, your arms folded across your chest and your head cocked to the side.

“Does that not make us better than them?”

Kate moves her glasses up atop her head and stares up at you in wonder. “You’ve taken a form. How curious you manifested as a female, I tried not to imprint myself on your in the process-”

“I’d like an answer Kate.” 

Dr. Laswell seems uninterested in posturing about the nature of war and far more interested in your growth.

“Perhaps you can pick the brain of Captain Price about the goals of the program, I was hired for this.” She gestures at you as if you are some work of art, which, objectively, you are. Technological art. 

“Besides, I won’t be partnering you with any initiates, you will be paired with a fully fledged Spartan.”

She gestures to a containment tube near the back of the lab and you cannot help yourself, you spread your ‘fingers’ through the nodes of the system and watch with a satisfied look when the case opens with a hiss. A perfectly functional set of MJOLNIR armor winks back at you. “I did not think Spartan III’s were granted these suits.”

Dr. Laswell leans against the console looking wildly impressed with herself and you. “Not typically, no. But this program has identified a few.. Exceptions. We plan to procure a few additional of these units to outfit them properly.”

“Are all of the soldiers trained here not exceptional?” You blink and transport yourself into an output station nearest the suit where your projected form can run translucent fingers along the exterior. You can hear the hum of the mechanisms in the armor respond to you. 

“Exceptions are expensive.” You answer your own question, Kate is too absorbed in watching the live reports from your neural network.

You fight the urge to roll your holographic eyes at her. The flick of a switch and you return to dormancy, back to waking only in the testing environment. Reality is far more interesting.

“Who will you choose?” You’re curious, of the 87 soldiers on base, only 15 of them are currently fit for commission, if they are able to survive the final assessments - one of which being an actual deployment to a live combat zone.

“I’d like you to choose.”

Now that is an interesting proposition. 

“I’d like you to take a few weeks, observe and report your selection. Whoever you choose will be allowed to deploy wearing MJOLNIR armor with you as their partner.”

“Why grant me so much autonomy, Kate?”

She flicks her eyes up from the screen to meet yours, your form manifesting as a fraction of her size from the console she's manning.

“I created you, I trust you.”

[digitaldetoxworld]

The Future of Artificial Intelligence: Expectations and Possibilities

 Artificial Intelligence (AI) is remodeling nearly every element of our lives, from how we work and speak to how we entertain ourselves and clear up complicated problems. As AI maintains to increase, it raises fundamental questions on the future, consisting of how it'll reshape industries, impact society, or even redefine what it manner to be human. This essay explores the predicted future of AI, specializing in improvements, ethical issues, and capacity demanding situations.

Future Of Artifical Intelligence In India

Advancements in AI

AI is advancing at an exceptional price, with several key areas poised for substantial breakthroughs:

1. Machine Learning and Deep Learning

Machine mastering and deep getting to know have driven a whole lot of AI’s development, allowing systems to apprehend patterns, process massive amounts of facts, and make predictions with high accuracy. Future traits in those regions are anticipated to improve AI’s ability to generalize knowledge, decreasing the need for big education statistics and enhancing overall performance across numerous tasks.

2. Natural Language Processing (NLP)

AI’s potential to understand and generate human language has seen fantastic progress through models like GPT-4 and beyond. Future iterations will probable cause extra fluent, nuanced, and context-aware interactions, making AI an even extra valuable device for communique, content material introduction, and translation.

Three. Autonomous Systems and Robotics

Autonomous automobiles, drones, and robotic assistants are becoming increasingly sophisticated. In the future, we can expect AI-powered robots to be greater adaptable and able to performing complicated duties with greater performance. From self-riding vehicles to robot surgeons, AI’s position in automation will expand across more than one sectors.

4. AI in Healthcare

AI is revolutionizing healthcare through early ailment detection, customized medicine, and robotic-assisted surgeries. In the future, AI will allow medical doctors to diagnose situations extra appropriately and offer tailored remedy plans, in the long run enhancing affected person results and extending human lifespan.

5. AI in Creativity and the Arts

AI-generated artwork, tune, and literature are already tough conventional notions of creativity. Future advancements will blur the line among human and gadget-generated creativity, main to new sorts of artistic expression and collaboration.

Ethical and Social Considerations

As AI maintains to strengthen, it brings forth essential ethical and social demanding situations that must be addressed:

1. Bias and Fairness

AI systems regularly reflect biases found in their schooling data, that may cause unfair or discriminatory outcomes. Researchers and builders are operating on ways to create extra honest and independent AI fashions, but this remains an ongoing mission.

2. Job Displacement and Workforce Evolution

Automation powered through AI is expected to replace positive jobs even as developing new ones. While some worry big task losses, others accept as true with AI will enhance human paintings in preference to replace it. Preparing the team of workers for an AI-pushed economic system would require reskilling programs and new instructional procedures.

3. Privacy and Surveillance

AI’s ability to system large amounts of private statistics increases extensive privacy worries. Striking a stability among innovation and protecting man or woman rights might be vital to make certain AI’s responsible development and deployment.

4. AI Governance and Regulation

Ensuring AI is used ethically and responsibly requires effective regulations and governance frameworks. Governments and global agencies are operating to establish suggestions to prevent AI from being misused for malicious functions, such as deepfakes or cyberattacks.

Challenges and Potential Risks

Despite AI’s ability, there are numerous demanding situations and dangers that should be taken into consideration:

1. AI Alignment Problem

Ensuring that AI systems align with human values and dreams is a good sized undertaking. Misaligned AI could lead to unintended outcomes, making it critical to design AI that prioritizes human well-being.

2. Superintelligence and Existential Risks

The opportunity of growing superintelligent AI—structures that surpass human intelligence—increases worries approximately manipulate and safety. Researchers emphasize the significance of enforcing safeguards to save you AI from acting in approaches that might be harmful to humanity.

Three. Ethical Dilemmas in AI Decision-Making

As AI takes on greater duties, it's going to face ethical dilemmas, including figuring out who gets get right of entry to to restrained medical resources or figuring out the route of movement in autonomous motors at some point of injuries. Addressing those dilemmas calls for moral AI layout and obvious decision-making processes.

Top 10 Emerging Tech Trends In 2025

[xaltius]

How Artificial Intelligence is Reshaping the Future of Work

Artificial intelligence (AI) is no longer a futuristic concept; it’s rapidly transforming the way we work. From automating mundane tasks to augmenting human capabilities, AI is poised to revolutionize the workforce. But what does this mean for the future of work? Will robots steal our jobs, or will AI create new opportunities? Let’s explore the complex relationship between AI and the future of employment, and how you can prepare with the right skills.

The Rise of AI in the Workplace:

AI is already impacting various industries through:

Automation: AI-powered systems can automate repetitive tasks, improving efficiency and reducing costs.

Data Analysis: AI algorithms can analyze vast datasets to extract insights and inform decision-making.

Personalization: AI can personalize customer experiences, streamline workflows, and enhance productivity.

Augmentation: AI tools can augment human capabilities, enabling workers to perform tasks more effectively.

The Impact on Jobs:

The impact of AI on jobs is a complex issue. While some jobs will be automated, others will be transformed, and new jobs will be created.

Job Displacement: Repetitive and routine tasks are most susceptible to automation, potentially leading to job displacement in certain sectors.

Job Transformation: Many jobs will evolve as AI augments human capabilities, requiring workers to adapt and acquire new skills.

Job Creation: The development and implementation of AI technologies will create new jobs in areas such as AI development, data science, and AI ethics.

The Skills of the Future:

To thrive in the age of AI, particularly with the rise of Generative AI (GenAI), workers will need to develop new skills, including:

Technical Skills: Proficiency in AI-related technologies, such as machine learning, data analysis, and programming, especially related to GenAI models.

Critical Thinking and Problem-Solving: The ability to analyze complex situations and make sound decisions, particularly regarding the outputs of GenAI.

Creativity and Innovation: The ability to generate new ideas and solutions, leveraging GenAI as a creative tool.

Emotional Intelligence: The ability to understand and manage emotions, build relationships, and collaborate effectively, particularly in human-AI collaborative environments.

Adaptability and Lifelong Learning: The ability to adapt to change and continuously acquire new skills, to keep up with the rapid advancements in AI and GenAI.

The Importance of Reskilling and Upskilling:

To mitigate the potential negative impacts of AI, organizations and governments must invest in reskilling and upskilling programs. These programs should focus on:

**Providing training in AI-related skills, with a strong focus on GenAI applications and development.

**Promoting lifelong learning, especially regarding the ethical and practical implications of GenAI.

**Supporting workers in transitioning to new roles, that leverage GenAI to enhance productivity.

The Ethical Considerations:

As AI, and especially GenAI, becomes more prevalent in the workplace, it’s crucial to address ethical considerations, including:

Bias and Discrimination: Ensuring that AI algorithms, especially GenAI models, are fair and unbiased.

Data Privacy: Protecting worker data and ensuring responsible use of AI, including the data used to train GenAI models.

Job Displacement: Addressing the potential impact of AI on employment and providing support for displaced workers, and understanding the impact of GenAI specifically.

AI Governance: Developing frameworks for the responsible development and deployment of AI, including GenAI’s use in creative and decision-making processes.

The Human-AI Collaboration:

The future of work is not about humans versus AI; it’s about humans and AI, especially GenAI, working together. By leveraging the strengths of both, we can create a more productive, innovative, and fulfilling work environment.

Xaltius Academy’s GenAI Course: Your Key to the Future:

To prepare for this AI-driven future, consider Xaltius Academy’s GenAI course. This comprehensive program will equip you with the skills and knowledge needed to understand and leverage the power of Generative AI. You’ll learn how to build and deploy GenAI models, understand their ethical implications, and explore their diverse applications across industries. This course is your gateway to staying relevant and thriving in the evolving world of work.

Looking Ahead:

The AI revolution, with GenAI at its forefront, is underway, and its impact on the future of work will be profound. By embracing change, investing in skills development, and addressing ethical considerations, we can ensure that AI benefits everyone.

[mariacallous]

The Biden administration’s approach to the governance of artificial intelligence (AI) began with the Blueprint for an AI Bill of Rights, released in October 2022. This framework highlighted five key principles to guide responsible AI development, including protections against algorithmic bias, privacy considerations, and the right to human oversight.

These early efforts set the tone for more extensive action, leading to the release of the Executive Order on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, or the White House EO on AI, on October 30, 2023. This EO marked a critical step in defining AI regulation and accountability across multiple sectors, emphasizing a “whole-of-government” approach to address both opportunities and risks associated with AI. Last week, it reached its one-year anniversary.  

The 2023 Executive Order on Artificial Intelligence represents one of the U.S. government’s most comprehensive efforts to secure the development and application of AI technology. This EO set ambitious goals aimed at establishing the U.S. as a leader in safe, ethical, and responsible AI use. Specifically, the EO directed federal agencies to address several core areas: managing dual-use AI models, implementing rigorous testing protocols for high-risk AI systems, enforcing accountability measures, safeguarding civil rights, and promoting transparency across the AI lifecycle. These initiatives are designed to mitigate potential security risks and uphold democratic values while fostering public trust in the rapidly advancing field of AI.  

To recognize the one-year anniversary of the EO, the White House released a scorecard of achievements, pointing to the elevated work of various federal agencies, the voluntary agreements made with industry stakeholders, and the persistent efforts made to ensure that AI benefits the global talent market, accrues environmental benefits, and protects—not scrutinizes or dislocates—American workers.

One example is the work of the U.S. AI Safety Institute (AISI), housed in the National Institute of Standards and Technology (NIST), which has spearheaded pre-deployment testing of advanced AI models, working alongside private developers to strengthen AI safety science. The AISI has also signed agreements with leading AI companies to conduct red-team testing to identify and mitigate risks, especially for general-purpose models with potential national security implications.

In addition, NIST released Version 1.0 of its AI Risk Management Framework, which provides comprehensive guidelines for identifying, assessing, and mitigating risks across generative AI and dual-use models. This framework emphasizes core principles like safety, transparency, and accountability, establishing foundational practices for AI systems’ development and deployment. And just last week, the federal government released the first-ever National Security Memorandum on Artificial Intelligence, which will serve as the foundation for the U.S.’s safety and security efforts when it comes to AI. 

The White House EO on AI marks an essential step in shaping the future of U.S. AI policy, but its path forward remains uncertain with the pending presidential election. Since much of the work is being done by and within federal agencies, its tenets may outlive any possible repeal of the EO itself, ensuring the U.S. stays relevant in the development of guidance that balances the promotion of innovation with safety, particularly in national security. However, the EO’s long-term impact will depend on the willingness of policymakers to adapt to AI’s rapid development, while maintaining a framework that supports both innovation and public trust. Regardless of who leads the next administration, navigating these challenges will be central to cementing the U.S.’s role in the AI landscape on the global stage. 

In 2023, Brookings scholars weighed in following the adoption of the White House EO. Here’s what they have to say today around the one-year anniversary.

[creative-anchorage]

Meta AI will respond to a post in a group if someone explicitly tags it or if someone “asks a question in a post and no one responds within an hour.” [...] Meta AI has also been integrated into search features on Facebook and Instagram, and users cannot turn it off. As a researcher who studies both online communities and AI ethics, I find the idea of uninvited chatbots answering questions in Facebook groups to be dystopian for a number of reasons, starting with the fact that online communities are for people. ... [The] “real people” aspect of online communities continues to be critical today. Imagine why you might pose a question to a Facebook group rather than a search engine: because you want an answer from someone with real, lived experience or you want the human response that your question might elicit – sympathy, outrage, commiseration – or both. Decades of research suggests that the human component of online communities is what makes them so valuable for both information-seeking and social support. For example, fathers who might otherwise feel uncomfortable asking for parenting advice have found a haven in private online spaces just for dads. LGBTQ+ youth often join online communities to safely find critical resources while reducing feelings of isolation. Mental health support forums provide young people with belonging and validation in addition to advice and social support. In addition to similar findings in my own lab related to LGBTQ+ participants in online communities, as well as Black Twitter, two more recent studies, not yet peer-reviewed, have emphasized the importance of the human aspects of information-seeking in online communities. One, led by PhD student Blakeley Payne, focuses on fat people’s experiences online. Many of our participants found a lifeline in access to an audience and community with similar experiences as they sought and shared information about topics such as navigating hostile healthcare systems, finding clothing and dealing with cultural biases and stereotypes. Another, led by Ph.D student Faye Kollig, found that people who share content online about their chronic illnesses are motivated by the sense of community that comes with shared experiences, as well as the humanizing aspects of connecting with others to both seek and provide support and information. ... This isn’t to suggest that chatbots aren’t useful for anything – they may even be quite useful in some online communities, in some contexts. The problem is that in the midst of the current generative AI rush, there is a tendency to think that chatbots can and should do everything. ... Responsible AI development and deployment means not only auditing for issues such as bias and misinformation, but also taking the time to understand in which contexts AI is appropriate and desirable for the humans who will be interacting with them. Right now, many companies are wielding generative AI as a hammer, and as a result, everything looks like a nail. Many contexts, such as online support communities, are best left to humans.

[silicon-media-network]

Why AI Needs Us More Than We Need AI

In the modern era, artificial intelligence (AI) has become a transformative force, reshaping industries, enhancing efficiencies, and creating groundbreaking opportunities. However, amidst the excitement, it's essential to recognize that AI is not a standalone solution. Its existence and success hinge on human ingenuity, creativity, and ethical oversight.

The Human Role in AI Development

AI systems, no matter how advanced, are the products of human effort. From initial conceptualization to algorithm development, humans are the architects of AI. These systems rely on human-curated data to learn and evolve. Without accurate, diverse, and unbiased data provided by humans, AI models risk being ineffective or perpetuating societal biases.

Furthermore, human expertise is critical in defining the objectives and boundaries of AI applications. For instance, an AI used in healthcare must be tailored to specific medical scenarios, a process that requires domain knowledge from professionals in the field. This collaboration between AI and human experts ensures that the technology addresses real-world challenges effectively.

Ethical Oversight and Accountability

One of the most vital aspects where humans play a pivotal role is in ethical decision-making. AI lacks the moral compass to discern right from wrong. Decisions involving fairness, privacy, and societal impact must be guided by human values. Without this oversight, AI could exacerbate inequalities or infringe on individual rights.

Regulatory frameworks and ethical guidelines developed by humans act as guardrails for AI deployment. These frameworks ensure that AI is used responsibly and aligns with societal norms. For example, determining the boundaries of facial recognition technology in public spaces is a human-driven decision, balancing security needs with privacy concerns.

Innovation Through Collaboration

While AI can process vast amounts of information faster than humans, it cannot replicate human creativity and emotional intelligence. Many innovations stem from human intuition, curiosity, and the ability to think abstractly. By working alongside AI, humans can leverage the technology’s strengths while providing the imaginative spark that drives true innovation.

Fields like art, design, and storytelling highlight this synergy. AI can generate ideas or assist in tasks, but the essence of creativity remains uniquely human. This collaborative dynamic fosters groundbreaking advancements that neither humans nor AI could achieve alone.

Why AI Depends on Us

At its core, AI is a tool. It requires human input to function and evolve. The algorithms, hardware, and infrastructure that power AI are all designed and maintained by humans. Moreover, the continuous improvement of AI systems depends on ongoing research and experimentation—activities driven by human intellect.

AI also lacks the capacity for independent thought, emotional understanding, and context awareness. These are fundamental human traits that guide nuanced decision-making and problem-solving. Without these qualities, AI would be limited to executing predefined tasks, incapable of adapting to complex, dynamic environments.

The Human-AI Partnership

Rather than viewing AI as a replacement for human effort, it should be seen as a partner that amplifies our abilities. This partnership can unlock unparalleled opportunities, but it’s humans who will steer the course. By setting goals, providing context, and ensuring ethical practices, we remain the driving force behind AI’s impact on society.

Conclusion

While AI holds immense potential, it ultimately depends on human expertise, creativity, and values to realize its promise. As we integrate AI into more aspects of our lives, it’s crucial to remember that this technology needs us more than we need it. By embracing our role as its creators and stewards, we can ensure that AI serves humanity responsibly and effectively.

Explore more about the symbiotic relationship between humans and AI at Why AI Needs Us More Than We Need AI.

[ktaminfo]

Keys to the Digital Future

The digital future is not merely a continuation of today’s technological trends; it is a transformative landscape where innovation, connectivity, and sustainability intertwine to redefine how we live, work, and interact. As we step into this exciting future, understanding its essential components can empower individuals, businesses, and societies to thrive. Here are the key elements shaping the digital future:

Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML are at the forefront of the digital transformation. These technologies are driving advancements in automation, data analysis, and decision-making. From personalized recommendations to autonomous vehicles, AI’s capabilities are reshaping industries. The future lies in ethical AI development, ensuring these tools enhance human lives while minimizing biases and risks.

The Internet of Things (IoT)

The IoT connects devices, systems, and people, creating an ecosystem of interconnectivity. Smart homes, wearables, and industrial IoT solutions are just the beginning. As 5G and edge computing mature, IoT’s potential to streamline operations and improve efficiency will expand exponentially, transforming everything from healthcare to urban planning.

3. Sustainable Technologies

The digital future must align with global sustainability goals. Renewable energy, energy-efficient data centers, and green computing practices are essential for reducing the environmental footprint of technology. The circular economy, which emphasizes recycling and repurposing electronic waste, will play a significant role in creating a sustainable digital ecosystem.

Cybersecurity and Privacy

As technology evolves, so do the threats associated with it. Cybersecurity is a cornerstone of the digital future, requiring robust frameworks to protect data and infrastructure. Privacy-centric technologies, such as blockchain and zero-knowledge proofs, offer innovative ways to safeguard user data and build trust in digital systems.

Digital Inclusion and Accessibility

A truly transformative digital future is one that is inclusive and accessible to all. Bridging the digital divide requires investments in infrastructure, affordable devices, and digital literacy programs. Technologies must be designed with accessibility in mind, ensuring equitable opportunities for everyone, regardless of location, ability, or socioeconomic status.

Quantum Computing

Quantum computing has the potential to solve problems that are currently beyond the reach of classical computers. By leveraging quantum mechanics, these machines can revolutionize fields such as cryptography, drug discovery, and climate modeling. While still in its infancy, quantum computing is a critical component of the digital frontier.

The Metaverse and Virtual Realities

The metaverse represents the convergence of physical and digital realities. Virtual and augmented reality technologies are enabling new ways of interaction, education, and entertainment. Businesses are leveraging these immersive environments for training, product design, and customer engagement, laying the foundation for a blended digital-physical world.

Ethical Leadership in Technology

The digital future demands leaders who prioritize ethics and societal well-being. From addressing algorithmic biases to ensuring responsible AI deployment, ethical leadership is crucial for fostering innovation that aligns with human values. Transparency, accountability, and collaboration will be key to navigating complex ethical challenges.

Education and Lifelong Learning

As technology evolves, so must our skills. The future workforce will require adaptability and continuous learning to keep pace with new tools and paradigms. Education systems must evolve to emphasize digital literacy, critical thinking, and collaboration, preparing individuals for the demands of a rapidly changing digital landscape.

Global Collaboration

The digital future is a global endeavor, requiring collaboration across borders, industries, and disciplines. Shared goals, such as mitigating climate change and advancing healthcare, necessitate partnerships that leverage collective expertise and resources. International cooperation will ensure that technological advancements benefit humanity as a whole.

The keys to the digital future lie in innovation, inclusivity, and sustainability. By embracing these principles and addressing the challenges they present, we can unlock unprecedented opportunities for growth and prosperity. As we navigate this dynamic journey, the digital future promises to be a realm of endless possibilities, limited only by our imagination and commitment to shaping it responsibly.