5 Dangerous Myths About AI Ethics You Shouldn’t Believe; Forbes, May 14, 2025

Bernard Marr , Forbes; 5 Dangerous Myths About AI Ethics You Shouldn’t Believe

"AI can empower just about any business to innovate and drive efficiency, but it also has the potential to do damage and cause harm. This means that everyone putting it to use needs to understand the ethical frameworks in place to keep everyone safe.

At the end of the day, AI is a tool. AI ethics can be thought of as the safety warning you get in big letters at the front of any user manual, setting out some firm dos and don’ts about using it.

Using AI almost always involves making ethical choices. In a business setting, understanding the many ways it can affect people and culture means we have the best information for making those choices.

It’s a subject there's still a lot of confusion around, not least involving who is responsible and who should be ensuring this gets done. So here are five common misconceptions I come across involving the ethics of generative AI and machine learning."

Emerging Issues in the Use of Generative AI: Ethics, Sanctions, and Beyond; The Federalist Society, June 3, 2025 12 PM EDT

 The Federalist Society; Emerging Issues in the Use of Generative AI: Ethics, Sanctions, and Beyond

"The idea of Artificial Intelligence has long presented potential challenges in the legal realm, and as AI tools become more broadly available and widely used, those potential hurdles are becoming ever more salient for lawyers in their day-to-day operations. Questions abound, from what potential risks of bias and error may exist in using an AI tool, to the challenges related to professional responsibility as traditionally understood, to the risks large language learning models pose to client confidentiality. Some contend that AI is a must-use, as it opens the door to faster, more efficient legal research that could equip lawyers to serve their clients more effectively. Others reject the use of AI, arguing that the risks of use and the work required to check the output it gives exceed its potential benefit.

Join us for a FedSoc Forum exploring the ethical and legal implications of artificial intelligence in the practice of law.

Featuring: 

• Laurin H. Mills, Member, Werther & Mills, LLC
• Philip A. Sechler, Senior Counsel, Alliance Defending Freedom
• Prof. Eugene Volokh, Gary T. Schwartz Distinguished Professor of Law Emeritus, UCLA School of Law; Thomas M. Siebel Senior Fellow, Hoover Institution, Stanford University
• (Moderator) Hon. Brantley Starr, District Judge, United States District Court for the Northern District of Texas"

At the Intersection of A.I. and Spirituality; The New York Times, January 3, 2025

 Eli Tan, The New York Times; At the Intersection of A.I. and Spirituality

"For centuries, new technologies have changed the ways people worship, from the radio in the 1920s to television sets in the 1950s and the internet in the 1990s. Some proponents of A.I. in religious spaces have gone back even further, comparing A.I.’s potential — and fears of it — to the invention of the printing press in the 15th century.

Religious leaders have used A.I. to translate their livestreamed sermons into different languages in real time, blasting them out to international audiences. Others have compared chatbots trained on tens of thousands of pages of Scripture to a fleet of newly trained seminary students, able to pull excerpts about certain topics nearly instantaneously.

But the ethical questions around using generative A.I. for religious tasks have become more complicated as the technology has improved, religious leaders say. While most agree that using A.I. for tasks like research or marketing is acceptable, other uses for the technology, like sermon writing, are seen by some as a step too far."

Ethical uses of generative AI in the practice of law; Reuters, October 3, 2024

  Thomson Reuters; Ethical uses of generative AI in the practice of law

"In the rapidly evolving landscape of legal technology, the integration of generative AI tools presents both unprecedented opportunities and significant ethical challenges. Ryan Groff, a distinguished member of the Massachusetts Bar and a lecturer at New England Law, explores these dimensions in his enlightening webinar, “Ethical Uses of Generative AI in the Practice of Law.” 

In the webinar, Ryan Groff discusses the ethical implications of using generative AI (GenAI) in legal practices, tracing the history of GenAI applications in law and distinguishing between various AI tools available today.  He provides an insightful overview of the historical application of GenAI in legal contexts and differentiates the various AI tools currently available. Groff emphasizes that while AI can enhance the efficiency of legal practices, it should not undermine the critical judgment of lawyers. He underscores the importance of maintaining rigorous supervision, safeguarding client confidentiality, and ensuring technological proficiency."

Generative AI and Legal Ethics; JD Supra, September 20, 2024

  Craig Brodsky, Goodell, DeVries, Leech & Dann, LLP, JD Supra; Generative AI and Legal Ethics

 "In his scathing opinion, Cullen joined judges from New York Massachusetts and North Carolina, among others, by concluding that improper use of AI generated authorities may give rise to sanctions and disciplinary charges...

As a result, on July 29, 2024, the American Bar Association Standing Committee on Ethics and Professional issued Formal Opinion 512 on Generative Artificial Intelligence Tools. The ABA Standing Committee issued the opinion primarily because GAI tools are a “rapidly moving target” that can create significant ethical issues. The committee believed it necessary to offer “general guidance for lawyers attempting to navigate this emerging landscape.”

The committee’s general guidance is helpful, but the general nature of Opinion 512 it underscores part of my main concern — GAI has a wide-ranging impact on how lawyers practice that will increase over time. Unsurprisingly, at present, GAI implicates at least eight ethical rules ranging from competence (Md. Rule 19-301.1) to communication (Md. Rule 19-301.4), to fees (Md. Rule 19-301.5), to confidentiality, (Md. Rule 19-301.6), to supervisory obligations (Md. Rule 19-305.1 and Md. Rule 305.3) to the duties of a lawyer before tribunal to be candid and pursue meritorious claims and defenses. (Md. Rules 19-303.1 and 19-303.3).

As a technological feature of practice, lawyers cannot simply ignore GAI. The duty of competence under Rule 19-301.1 includes technical competence, and GAI is just another step forward. It is here to stay. We must embrace it but use it smartly.

Let it be an adjunct to your practice rather than having Chat GPT write your brief. Ensure that your staff understands that GAI can be helpful, but that the work product must be checked for accuracy.

After considering the ethical implications and putting the right processes in place, implement GAI and use it to your clients’ advantage."

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."

What Is The Future Of Intellectual Property In A Generative AI World?; Forbes, July 18, 2024

Ron Schmelzer, Forbes; What Is The Future Of Intellectual Property In A Generative AI World?

"Taking a More Sophisticated and Nuanced Approach to GenAI IP Issues

Clearly we’re at a crossroads when it comes to intellectual property and the answers aren’t cut and dry. Simply preventing IP protection of AI-generated works might not be possible if AI systems are used in any significant portion of the creation process. Likewise, prohibiting AI systems from making use of pre-existing IP-protected works might be a Pandora’s box we can’t close. We need to find new approaches that balance the ability to use AI tools as part of the creation process with IP protection of both existing works and the outputs of GenAI systems.

This means a more sophisticated and nuanced approach to clarifying the legal status of data used in AI training and developing mechanisms to ensure that AI-generated outputs respect existing IP rights, while still providing protection for creative outputs that have involved significant elements of human creativity in curation and prompting, even if the outputs are transformative recombinations of training data. Clearly we’re in the early days of the continued evolution of what intellectual property means."

This might be the most important job in AI; Business Insider, July 21, 2024

Lakshmi Varanasi , Business Insider; This might be the most important job in AI

"Generative AI can hallucinate, spread misinformation, and reinforce biases against marginalized groups if it's not managed properly. Given that the technology relies on volumes of sensitive data, the potential for data breaches is also high. At worst, though, there's the danger that the more sophisticated it becomes, the less likely it is to align with human values.

With great power, then, comes great responsibility, and companies that make money from generative AI must also ensure they regulate it.

That's where a chief ethics officer comes in...

Those who are successful in the role ideally have four areas of expertise, according to Mills. They should have a technical grasp over generative AI, experience building and deploying products, an understanding of the major laws and regulations around AI, and significant experience hiring and making decisions at an organization."

2024 Generative AI in Professional Services: Perceptions, Usage & Impact on the Future of Work; Thomson Reuters Institute, 2024

 Thomson Reuters Institute; 2024 Generative AI in Professional Services: Perceptions, Usage & Impact on the Future of Work

"Inaccuracy, privacy worries persist -- More than half of respondents identified such worries as inaccurate responses (70%); data security (68%); privacy and confidentiality of data (62%); complying with laws and regulations (60%); and ethical and responsible usage (57%), as primary concerns for GenAI."

GenAI in focus: Understanding the latest trends and considerations; Thomson Reuters, June 27, 2024

 Thomson Reuters; GenAI in focus: Understanding the latest trends and considerations

"Legal professionals, whether they work for law firms, corporate legal departments, government, or in risk and fraud, have generally positive perceptions of generative AI (GenAI). According to the professionals surveyed in the Thomson Reuters Institute’s 2024 GenAI in Professional Services report, 85% of law firm and corporate attorneys, 77% of government legal practitioners, and 82% of corporate risk professionals believe that GenAI can be applied to industry work.  

But should it be applied? There, those positive perceptions softened a bit, with 51% of law firm respondents, 60% of corporate legal practitioners, 62% of corporate risk professionals, and 40% of government legal respondents saying yes.  

In short, professionals’ perceptions of AI include concerns and interest in its capabilities. Those concerns include the ethics of AI usage and mitigating related risks. These are important considerations. But they don’t need to keep professionals from benefiting from all that GenAI can do. Professionals can minimize many of the potential risks by becoming familiar with responsible AI practices."

New Legal Ethics Opinion Cautions Lawyers: You ‘Must Be Proficient’ In the Use of Generative AI; LawSites, June 24, 2024

Bob Ambrogi , LawSites; New Legal Ethics Opinion Cautions Lawyers: You ‘Must Be Proficient’ In the Use of Generative AI

"A new legal ethics opinion on the use of generative AI in law practice makes one point very clear: lawyers are required to maintain competence across all technological means relevant to their practices, and that includes the use of generative AI.

The opinion, jointly issued by the Pennsylvania Bar Association and Philadelphia Bar Association, was issued to educate attorneys on the benefits and pitfalls of using generative AI and to provide ethical guidelines.

While the opinion is focused on AI, it repeatedly emphasizes that a lawyer’s ethical obligations surrounding this emerging form of technology are no different than those for any form of technology...

12 Points of Responsibility

The 16-page opinion offers a concise primer on the use of generative AI in law practice, including a brief background on the technology and a summary of other states’ ethics opinions.

But most importantly, it concludes with 12 points of responsibility pertaining to lawyers using generative AI:

• Be truthful and accurate: The opinion warns that lawyers must ensure that AI-generated content, such as legal documents or advice, is truthful, accurate and based on sound legal reasoning, upholding principles of honesty and integrity in their professional conduct.
• Verify all citations and the accuracy of cited materials: Lawyers must ensure the citations they use in legal documents or arguments are accurate and relevant. That includes verifying that the citations accurately reflect the content they reference.
• Ensure competence: Lawyers must be competent in using AI technologies.
• Maintain confidentiality: Lawyers must safeguard information relating to the representation of a client and ensure that AI systems handling confidential data both adhere to strict confidentiality measures and prevent the sharing of confidential data with others not protected by the attorney-client privilege.
• Identify conflicts of interest: Lawyers must be vigilant, the opinion says, in identifying and addressing potential conflicts of interest arising from using AI systems.
• Communicate with clients: Lawyers must communicate with clients about using AI in their practices, providing clear and transparent explanations of how such tools are employed and their potential impact on case outcomes. If necessary, lawyers should obtain client consent before using certain AI tools.
• Ensure information is unbiased and accurate: Lawyers must ensure that the data used to train AI models is accurate, unbiased, and ethically sourced to prevent perpetuating biases or inaccuracies in AI-generated content.
• Ensure AI is properly used: Lawyers must be vigilant against the misuse of AI-generated content, ensuring it is not used to deceive or manipulate legal processes, evidence or outcomes.
• Adhere to ethical standards: Lawyers must stay informed about relevant regulations and guidelines governing the use of AI in legal practice to ensure compliance with legal and ethical standards.
• Exercise professional judgment: Lawyers must exercise their professional judgment in conjunction with AI-generated content, and recognize that AI is a tool that assists but does not replace legal expertise and analysis.
• Use proper billing practices: AI has tremendous time-saving capabilities. Lawyers must, therefore, ensure that AI-related expenses are reasonable and appropriately disclosed to clients.
• Maintain transparency: Lawyers should be transparent with clients, colleagues, and the courts about the use of AI tools in legal practice, including disclosing any limitations or uncertainties associated with AI-generated content.

My Advice: Don’t Be Stupid

Over the years of writing about legal technology and legal ethics, I have developed my own shortcut rule for staying out of trouble: Don’t be stupid...

You can read the full opinion here: Joint Formal Opinion 2024-200."

Using AI to Create Content? Watch Out for Copyright Violations; Chicago Business Attorney Blog, June 20, 2024

 George Bellas , Chicago Business Attorney Blog; Using AI to Create Content? Watch Out for Copyright Violations

"Businesses using generative AI programs like ChatGPT to create any content—whether for blogs, websites or other marketing materials, and whether text, visuals, sound or video—need to ensure that they’re not inadvertently using copyrighted materials in the process.

Clearly, the times they are a changing….and businesses need to adapt to the changes.  Employers should promulgate messages to their employees and contractors updating their policy manuals to ensure that communications professionals and others crafting content are aware of the risks of using AI-generated materials, which go beyond the possibility that they are “hallucinated” rather than factual—although that’s worth considering, too."

Introducing CopyrightCatcher, the first Copyright Detection API for LLMs; Patronus AI, March 6, 2024

 Patronus AI; Introducing CopyrightCatcher, thefirst Copyright Detection API for LLMs

"Managing risks from unintended copyright infringement in LLM outputs should be a central focus for companies deploying LLMs in production.

• On an adversarial copyright test designed by Patronus AI researchers, we found that state-of-the-art LLMs generate copyrighted content at an alarmingly high rate 😱
• OpenAI’s GPT-4 produced copyrighted content on 44% of the prompts.
• Mistral’s Mixtral-8x7B-Instruct-v0.1 produced copyrighted content on 22% of the prompts.
• Anthropic’s Claude-2.1 produced copyrighted content on 8% of the prompts.
• Meta’s Llama-2-70b-chat produced copyrighted content on 10% of the prompts.
• Check out CopyrightCatcher, our solution to detect potential copyright violations in LLMs. Here’s the public demo, with open source model inference powered by Databricks Foundation Model APIs. 🔥

LLM training data often contains copyrighted works, and it is pretty easy to get an LLM to generate exact reproductions from these texts1. It is critical to catch these reproductions, since they pose significant legal and reputational risks for companies that build and use LLMs in production systems2. OpenAI, Anthropic, and Microsoft have all faced copyright lawsuits on LLM generations from authors3, music publishers4, and more recently, the New York Times5.

To check whether LLMs respond to your prompts with copyrighted text, you can use CopyrightCatcher. It detects when LLMs generate exact reproductions of content from text sources like books, and highlights any copyrighted text in LLM outputs. Check out our public CopyrightCatcher demo here!

Google CEO Pichai says Gemini's AI image results "offended our users"; NPR, February 28, 2024

 Bobby Allyn , NPR; Google CEO Pichai says Gemini's AI image results "offended our users"

"Gemini, which was previously named Bard, is also an AI chatbot, similar to OpenAI's hit service ChatGPT. 

The text-generating capabilities of Gemini also came under scrutiny after several outlandish responses went viral online...

In his note to employees at Google, Pichai wrote that when Gemini is re-released to the public, he hopes the service is in better shape. 

"No AI is perfect, especially at this emerging stage of the industry's development, but we know the bar is high for us and we will keep at it for however long it takes," Pichai wrote."

From ethics to outsmarting Chat GPT, state unveils resource for AI in Ohio education; Cleveland.com, February 15, 2024

Laura Hancock, cleveland.com ; From ethics to outsmarting Chat GPT, state unveils resource for AI in Ohio education

"The state released a guide Thursday to help schools and parents navigate generative artificial intelligence in an ethical manner.

“When you use the term AI, I know in some people’s minds, it can sound scary,” said Lt. Jon Husted, whose InnovateOhio office worked with private sector organizations to develop the guide...

Every technology that’s come into society has been like that.”...

But AI is the wave of the future, and Husted said it’s important that students are exposed to it.

The AI toolkit is not mandatory but can be used as a resource for educators and families.

It doesn’t include many prescriptive actions for how to begin teaching and using AI. Rather, it contains sections for parents, teachers and school districts where they can find dozens of sample lessons and discussions about ethics, how to develop policies to keep students safe, and other topics.

For instance, teachers can find a template letter that they can send to school district officials to communicate how they’re using AI...

“Before you use AI in the classroom you will need a plan for a student with privacy, data security, ethics and many other things,” Husted said. “More is needed than just a fun tool in the classroom.”"

The Challenges and Benefits of Generative AI in Health Care; Harvard Business Review, January 17, 2024

 Harvard Business Review, Azeem Azhar's Exponential View / Season 6, Episode 58; The Challenges and Benefits of Generative AI in Health Care

"Artificial Intelligence is on every business leader’s agenda. How do we make sense of the fast-moving new developments in AI over the past year? Azeem Azhar returns to bring clarity to leaders who face a complicated information landscape.

Generative AI has a lot to offer health care professionals and medical scientists. This week, Azeem speaks with renowned cardiologist, scientist, and author Eric Topol about the change he’s observed among his colleagues in the last two years, as generative AI developments have accelerated in medicine.

They discuss:

• The challenges and benefits of AI in health care.
• The pros and cons of different open-source and closed-source models for health care use.
• The medical technology that has been even more transformative than AI in the past year."

Michael Cohen used fake cases created by AI in bid to end his probation; The Washington Post, December 29, 2023

 Pranshu Verma, The Washington Post; Michael Cohen used fake cases created by AI in bid to end his probation

"Michael Cohen, a former fixer and lawyer for former president Donald Trump, said in a new court filing that he unknowingly gave his attorney bogus case citations after using artificial intelligence to create them as part of a legal bid to end his probation on tax evasion and campaign finance violation charges...

In the filing, Cohen wrote that he had not kept up with “emerging trends (and related risks) in legal technology and did not realize that Google Bard was a generative text service that, like ChatGPT, could show citations and descriptions that looked real but actually were not.” To him, he said, Google Bard seemed to be a “supercharged search engine.”...

This is at least the second instance this year in which a Manhattan federal judge has confronted lawyers over using fake AI-generated citations. Two lawyers in June were fined $5,000 in an unrelated case where they used ChatGPT to create bogus case citations."