The Future of AI Regulation and Legislation: 5 Key Takeaways
Episode 342 -- How to Conduct an Internal Compliance Site Visit and Review
Public-Private Partnerships to Stem Corruption
Investigations and Cognitive Interviews
Fraud Prevention Techniques for Nonprofit Organizations - Part 3
Steps Your Nonprofit Can Take to Mitigate Fraud Risks - Part 2
Implications of the SEC Cybersecurity Disclosure Rule
Why Time Matters: Partners Lindsay Gerdes and Michael J. Bronson on Swift Action in Government Investigations
Privacy Issues from Third-Party Website Tags
False Claims Act Insights - If Everything Matters, Nothing Does: Parsing Materiality in FCA Disputes
Episode 331- NAVEX State of Risk and Compliance Programs
What the Board Should Be Asking About the Compliance Program
Episode 330 – Halyna Senyk on Anti-Corruption Progress in Ukraine
Managing Social Media Risk
FCPA Compliance Report: Erica Salmon Byrne on Closing The Speak Up Gap
Principled Podcast: S11E7 | Fortifying Ethical Frameworks: Navigating Emerging Risks in the Middle East
Episode 327 -- Another Look at the Importance of Corporate Culture
In Brief: Election Law & Government Ethics Unpacked: National Convention Guidance
Episode 320 -- NAVEX Hotline Report -- More Reports and Higher Substantiation
Episode 318 -- LRN's Recent Study Underscores Importance of Ethical Culture and Values-Based Leadership
The future of Artificial Intelligence isn’t just on the horizon—it’s already transforming industries and reshaping how businesses operate. But with this rapid evolution comes new challenges. Ethical concerns, privacy risks,...more
Though responsible and ethical use of artificial intelligence (AI) has been a hot topic for the past few years, there has not yet been significant adoption of laws or regulations aimed specifically at regulating the use of AI...more
Recently, the intersection of artificial intelligence (AI) and employment law has become a focal point for legislators, regulators, and employers alike. As AI technologies continue to reshape hiring practices and workplace...more
This blog post concludes a five-part series I ran this week on some of the keys intersecting AI and compliance. Yesterday, I wrote that businesses must proactively address the potential for bias at every stage of the AI...more
As artificial intelligence (AI) becomes increasingly integrated into business operations and decision-making, ensuring the fairness and lack of bias in these AI systems is paramount. This is especially critical for companies...more
The World Health Organization (WHO) recently published “Ethics and Governance of Artificial Intelligence for Health: Guidance on large multi-modal models” (LMMs), which is designed to provide “guidance to assist Member States...more
Hello listeners, welcome back to Behind the Bio, LISI’s podcast where two lawyers talk about turning points in unusual careers. I’m your host, Julie Owsik Ackerman, and my conversation with Jen Leonard left me curious and...more
Editor’s Note: The integration of artificial intelligence into legal services stands poised to profoundly impact cybersecurity, information governance, eDiscovery, and the broader data landscape. As this article explores,...more
Hosted by American Conference Institute, the inaugural National Conference on AI Law, Ethics and Compliance will bring together all key stakeholders for discussions on the most pressing, high stakes issues and uncertain risk...more
Project W contributor and ally, Jeff Sabado, is Davis Wright Tremaine's Director of Knowledge Management and a member of the firm's AI Steering Committee. Jeff explores how Generative Artificial Intelligence – when used...more
As generative artificial intelligence (GAI) technology, like ChatGPT, finds new and greater uses in the workplace, employers must consider the myriad of legal and other issues that come with it. For good reason, employers...more
In a recent article, we argued that patent law's current subjective and inconsistently-applied mental process doctrine is erroneously based on a false equivalence between human and machine cognition. Notably, inventions that...more
What is AI bias? AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data....more
The world is seeing major advances in artificial intelligence (AI) and data analytics, and novel applications in healthcare, education, transportation, e-commerce, and defense, among other areas. These algorithms are...more
AI ethics is a sub-field of applied ethics, focusing on the ethical issues raised by the development, deployment and use of AI. Its central concern is to identify how AI can advance or raise concerns to the good life of...more