Is using AI tools innovation or exploitation? 3 ways to think about the ethics; The Conversation, November 27, 2024

Leo S. Lo, Dean and Professor, College of University Libraries and Learning Sciences, University of New Mexico, The Conversation; Is using AI tools innovation or exploitation? 3 ways to think about the ethics

"Across industries, workers encounter more immediate ethical questions about whether to use AI every day. In a trial by the U.K.-based law firm Ashurst, three AI systems dramatically sped up document review but missed subtle legal nuances that experienced lawyers would catch. Similarly, journalists must balance AI’s efficiency for summarizing background research with the rigor required by fact-checking standards.

These examples highlight the growing tension between innovation and ethics. What do AI users owe the creators whose work forms the backbone of those technologies? How do we navigate a world where AI challenges the meaning of creativity – and humans’ role in it?

As a dean overseeing university libraries, academic programs and the university press, I witness daily how students, staff and faculty grapple with generative AI. Looking at three different schools of ethics can help us go beyond gut reactions to address core questions about how to use AI tools with honesty and integrity."

Panel Reminds Us That Artificial Intelligence Can Only Guess, Not Reason for Itself; New Jersey Institute of Technology, October 22, 2024

Evan Koblentz , New Jersey Institute of Technology; Panel Reminds Us That Artificial Intelligence Can Only Guess, Not Reason for Itself

"Expert panelists took a measured tone about the trends, challenges and ethics of artificial intelligence, at a campus forum organized by NJIT’s Institute for Data Science this month.

The panel moderator was institute director David Bader, who is also a distinguished professor in NJIT Ying Wu College of Computing and who shared his own thoughts on AI in a separate Q&A recently. The panel members were Kevin Coulter, field CTO for AI, Dell Technologies; Grace Wang, distinguished professor and director of NJIT’s Center for Artificial Intelligence Research; and Mengjia Xu, assistant professor of data science. DataBank Ltd., a data center firm that hosts NJIT’s Wulver high-performance computing cluster, was the event sponsor...

Bader: “There's also a lot of concerns that get raised with AI in terms of privacy, in terms of ethics, in terms of its usage. So I really want to understand your thoughts on how we ensure that AI systems are developed and deployed ethically. And are there specific frameworks or guidelines that you would follow?”...

Wang: “Well, I always believe that AI at its core is just a tool, so there's no difference for the AI and say, lock picking tools. Now, picking tools can open your door if you lock yourself out and it can also open others. That's a crime, right? So it depends on how AI is used. From that perspective, there's not much special when we talk about AI ethics, or, say, computer security ethics, or the ethics related to how to use a gun, for example. But what is different is, as AI is too complex, it's beyond the knowledge of many of us how it works. Sometimes it looks ethical but maybe what's behind it is amplifying the bias by using the AI tools without our knowledge. So whenever we talk about AI ethics, I think the most important one is education if you know what AI is about, how it works and what AI can do and what AI cannot. I think for now we have the fear that AI is so powerful it can do anything, but actually, many of the things that people believe AI can do now can be done in the past by just any software system. So education is very, very important to help us to demystify AI accordingly, so we can talk about AI ethics. I want to emphasize transparency. If AI is used for decision making, if we understand how the decision is made, that becomes very, very important. And another important topic related to AI ethics is auditing if we don't know what's inside. At least we have some assessment tools to know whether there's a risk or not in certain circumstances. Whether it can generate a harmful result or is not very much like the stress testing to the financial system after 2008.”

AI Ethics Council Welcomes LinkedIn Co-Founder Reid Hoffman and Commentator, Founder and Author Van Jones as Newest Members; Business Wire, October 15, 2024

 Business Wire; AI Ethics Council Welcomes LinkedIn Co-Founder Reid Hoffman and Commentator, Founder and Author Van Jones as Newest Members

"The AI Ethics Council, founded by OpenAI CEO Sam Altman and Operation HOPE CEO John Hope Bryant, announced today that Reid Hoffman (Co-Founder of LinkedIn and Inflection AI and Partner at Greylock) and Van Jones (CNN commentator, Dream Machine Founder and New York Times best-selling author) have joined as a members. Formed in December 2023, the Council brings together an interdisciplinary body of diverse experts including civil rights activists, HBCU presidents, technology and business leaders, clergy, government officials and ethicists to collaborate and set guidelines on ways to ensure that traditionally underrepresented communities have a voice in the evolution of artificial intelligence and to help frame the human and ethical considerations around the technology. Ultimately, the Council also seeks to help determine how AI can be harnessed to create vast economic opportunities, especially for the underserved.

Mr. Hoffman and Mr. Jones join an esteemed group on the Council, which will serve as a leading authority in identifying, advising on and addressing ethical issues related to AI. In addition to Mr. Altman and Mr. Bryant, founding AI Ethics Council members include:

• George T. French, Jr, JD, PhD., President, Clark Atlanta University and Chair of Presidents, United Negro College Fund
• Helene D. Gayle, MD, MPH, President, Spelman College
• Bernice A. King, JD, M. Div, CEO, The King Center
• David A. Thomas, PhD., President, Morehouse College
• Angela F. Williams, JD, M. Div, President and CEO, United Way Worldwide
• Ambassador Andrew J. Young, Chairman, The Andrew J. Young Foundation, former U.N. Ambassador, former Mayor of Atlanta and civil rights icon"

AN ETHICS EXPERT’S PERSPECTIVE ON AI AND HIGHER ED; Pace University, September 3, 2024

 Johnni Medina, Pace University; AN ETHICS EXPERT’S PERSPECTIVE ON AI AND HIGHER ED

"As a scholar deeply immersed in both technology and philosophy, James Brusseau, PhD, has spent years unraveling the complex ethics of artificial intelligence (AI).

“As it happens, I was a physics major in college, so I've had an abiding interest in technology, but I finally decided to study philosophy,” Brusseau explains. “And I did not see much of an intersection between the scientific and my interest in philosophy until all of a sudden artificial intelligence landed in our midst with questions that are very philosophical.”.

Some of these questions are heavy, with Brusseau positing an example, “If a machine acts just like a person, does it become a person?” But AI’s implications extend far beyond the theoretical, especially when it comes to the impact on education, learning, and career outcomes. What role does AI play in higher education? Is it a tool that enhances learning, or does it risk undermining it? And how do universities prepare students for an AI-driven world?

In a conversation that spans these topics, Brusseau shares his insights on the place of AI in higher education, its benefits, its risks, and what the future holds...

I think that if AI alone is the professor, then the knowledge students get will be imperfect in the same vaguely definable way that AI art is imperfect."

AI Ethics Part Two: AI Framework Best Practices; Mondaq, August 29, 2024

Laura Gibbs ,Ben Verley Justin Gould, Kristin Morrow, Rebecca Reeder, Monday; AI Ethics Part Two: AI Framework Best Practices

"Ethical artificial intelligence frameworks are still emerging across both public and private sectors, making the task of building a responsible AI program particularly challenging. Organizations often struggle to define the right requirements and implement effective measures. So, where do you start if you want to integrate AI ethics into your operations?

In Part I of our AI ethics series, we highlighted the growing pressure on organizations to adopt comprehensive ethics frameworks and the impact of failing to do so. We emphasized the key motivators for businesses to proactively address potential risks before they become reality.

This article delves into what an AI ethics framework is and why it is vital for mitigating these risks and fostering responsible AI use. We review AI ethics best practices, explore common challenges and pitfalls, and draw insights from the experiences of leading industry players across various sectors. We also discuss key considerations to ensure an effective and actionable AI ethics framework, providing a solid foundation for your journey towards ethical AI implementation.

AI Ethics Framework: Outline

A comprehensive AI ethics framework offers practitioners a structured guide with established rules and practices, enabling the identification of control points, performance boundaries, responses to deviations, and acceptable risk levels. Such a framework ensures timely ethical decision-making by asking the right questions. Below, we detail the main functions, core components, and key controls necessary for a robust AI ethics framework."

Essential Skills for IT Professionals in the AI Era; IEEE Spectrum, August 27, 2024

KUMAR SINGIRIKONDA , IEEE Spectrum; Essential Skills for IT Professionals in the AI Era

"Artificial Intelligence is transforming industries worldwide, creating new opportunities in health care, finance, customer service, and other disciplines. But the ascendance of AI raises concerns about job displacement, especially as the technology might automate tasks traditionally done by humans.

Jobs that involve data entry, basic coding, and routine system maintenance are at risk of being eliminated—which might worry new IT professionals. AI also creates new opportunities for workers, however, such as developing and maintaining new systems, data analysis, and cybersecurity. If IT professionals enhance their skills in areas such as machine learning, natural language processing, and automation, they can remain competitive as the job market evolves.

Here are some skills IT professionals need to stay relevant, as well as advice on how to thrive and opportunities for growth in the industry...

Key insights into AI ethics

Understanding the ethical considerations surrounding AI technologies is crucial. Courses on AI ethics and policy provide important insights into ethical implications, government regulations, stakeholder perspectives, and AI’s potential societal, economic, and cultural impacts.

I recommend reviewing case studies to learn from real-world examples and to get a grasp of the complexities surrounding ethical decision-making. Some AI courses explore best practices adopted by organizations to mitigate risks."

Ethical and Responsible AI: A Governance Framework for Boards; Directors & Boards, August 27, 2024

Sonita Lontoh, Directors & Boards; Ethical and Responsible AI: A Governance Framework for Boards 

"Boards must understand what gen AI is being used for and its potential business value supercharging both efficiencies and growth. They must also recognize the risks that gen AI may present. As we have already seen, these risks may include data inaccuracy, bias, privacy issues and security. To address some of these risks, boards and companies should ensure that their organizations' data and security protocols are AI-ready. Several criteria must be met:

• Data must be ethically governed. Companies' data must align with their organization's guiding principles. The different groups inside the organization must also be aligned on the outcome objectives, responsibilities, risks and opportunities around the company's data and analytics.
• Data must be secure. Companies must protect their data to ensure that intruders don't get access to it and that their data doesn't go into someone else's training model.
• Data must be free of bias to the greatest extent possible. Companies should gather data from diverse sources, not from a narrow set of people of the same age, gender, race or backgrounds. Additionally, companies must ensure that their algorithms do not inadvertently perpetuate bias.
• AI-ready data must mirror real-world conditions. For example, robots in a warehouse need more than data; they also need to be taught the laws of physics so they can move around safely.
• AI-ready data must be accurate. In some cases, companies may need people to double-check data for inaccuracy.

It's important to understand that all these attributes build on one another. The more ethically governed, secure, free of bias and enriched a company's data is, the more accurate its AI outcomes will be."

Crossroads: Episode 2 - AI and Ethics; Crossroads from Washington National Cathedral, April 17, 2024

 Crossroads from Washington National Cathedral; Crossroads: Episode 2 - AI and Ethics

"Tune in for the Cathedral's first conversation on AI and ethics. Whether you are enthusiastically embracing it, reluctantly trying it out, or anxious about its consequences, AI has taken our world by storm and according to the experts, it is here to stay. Dr. Joseph Yun, CEO of Bluefoxlabs.ai and AI architect for the University of Pittsburgh, the Rev. Jo Nygard Owens, the Cathedral's Pastor for Digital Ministry, and Dr. Sonia Coman, the Cathedral's Director of Digital Engagement discuss the state of AI, its risks, and the hope it can bring to the world."

UC Berkeley Law School To Offer Advanced Law Degree Focused On AI; Forbes, August 16, 2024

  Michael T. Nietzel, Forbes; UC Berkeley Law School To Offer Advanced Law Degree Focused On AI

"The University of California, Berkeley School of Law has announced that it will offer what it’s calling “the first-ever law degree with a focus on artificial intelligence (AI).” The new AI-focused Master of Laws (LL.M.) program is scheduled to launch in summer 2025.

The program, which will award an AI Law and Regulation certificate for students enrolled in UC Berkeley Law’s LL.M. executive track, is designed for working professionals and can be completed over two summers or through remote study combined with one summer on campus...

According to Assistant Law Dean Adam Sterling, the curriculum will cover topics such as AI ethics, the fundamentals of AI technology, and current and future efforts to regulate AI. “This program will equip participants with in-depth knowledge of the ethical, regulatory, and policy challenges posed by AI,” Sterling added. “It will focus on building practice skills to help them advise and represent leading law firms, AI companies, governments, and non-profit organizations.”"