Liz Grennan, Partner and Global Co-Leader of Digital Trust at McKinsey & Co., speaks with Bill Tanenbaum about how companies are deciding on Generative AI use cases, as well as the need for lawyers and technology departments to learn new ways to collaborate in order to successfully blend existing compliance practices with the new issues raised by AI. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Bill Tanenbaum and Robert (Bob) Seiner, the President of KIK Consulting and Educational Services, talk about how data does not manage itself, and explain the discipline of data governance to a legal audience. Bob defines data governance as “the execution and authority and enforcement of authority of the management of data.” He explains the framework he developed, “Non-Invasive Data Governance,” which breaks down silos in corporate data operations in order to coordinate the activities done by different data officers in the company. KIK advises law firms on developing formal data governance structures and Bob shares his insights on that. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Steve Ardire, an AI startup advisor, talks with Bill Tanenbaum about health care AI in the context of startup healthcare companies. Steve addresses the health care use cases on both the business and medical sides that he sees in the near future, and also speaks about “AI readiness.” PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Bill Tanenbaum and Danny Ertel, a Founding Partner and Director of Vantage Partners, a consulting firm, compare and contrast business transformation using AI with prior business transformation technologies. Bill and Danny discuss IP protection for Generative AI inputs and outputs and whether data is a form of property, as well as what rights companies should have or should not have to extract patterns from third-party data. Danny addresses how companies need to be responsible for harms resulting from their use of Generative AI, and therefore need to be responsible for the inputs they use in training models. Bill and Danny also discuss how regulating AI could both provide competitive advantages to the large incumbent technology companies and disadvantage smaller and emerging companies in the field. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Anthony Algmin, a leading data professional and author, and Bill Tanenbaum discuss how data professionals work with lawyers, the role of data (including metadata) in Generative AI, and how the value of data depends on the context in which it is used. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Bill Tanenbaum and Greg Silberman of Kilpatrick Townsend & Stockton discuss the privacy risks arising from Generative AI, increased malware attacks, and privacy regulatory regimes as applied to AI. Bill and Greg also discuss whether regulations resulting from the Biden administration’s AI Executive Order will establish best AI privacy practices that will be used in the private sector. Greg explains how EU AI Act rules are based on a hierarchy of risks and how algorithmic disgorgement has been used as a remedy for privacy failures. He also explains what differential privacy is and how it allows for the collection of sensitive data that is then removed from a data analysis of the information. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Dr. Yauheni Solad, former Vice President of Innovation at UC Davis Health and a leading Digital Health expert, discusses AI in health care with Bill Tanenbaum. They explore how generative AI is a source of best practices by providing up-to-date knowledge and identifying when research has been superseded, communicating best practices faster, and reducing administrative burdens to allow physicians to allocate more time to medical care. Dr. Solad covers the difference between specialized and fine-tuned Large Language Models (LLMs), and stresses the importance in health care of using open LLMs and transparency as a way to validate data and identify biases and outdated information, as well as the importance of correctly formulated Generative AI prompts in health care. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Bill Tanenbaum and Ameen Haddad, Vice President and Associate General Counsel at Oracle America, discuss how advanced AI and AI governance can improve the function of legal departments in large corporations. Ameen explains how generative AI, large language models, and retrieval-augmented generation (RAG) can be used to parse and analyze large amounts of data, retrieve relevant legal information, and automate the drafting of legal briefs. He also discusses potential future use cases for AI in legal departments, such as digital assistants that can provide on-demand legal advice. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Jon Lightman, the Lead of the Americas Banking and Finance Service of advisory firm ISG, sits down with Bill Tanenbaum to discuss the evolving role of AI in business transformation and outsourcing. Jon suggests that the conventional use of service levels (SLAs) to manage vendor performance should change to using “service levers” because of the need to coordinate services as companies adopt a multi-vendor ecosystem. AI, by its nature, introduces unknown unknowns into business transformation, and Bill and Jon discuss how governance (that is, steering committee for managing outsourcing projects) in outsourcing should change to handle issues that, by necessity or design, are deferred to future phases of an engagement, including allocation of unpredicted IP rights created during the engagement. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Karen Silverman, CEO of Cantellus Group and a former partner at Latham & Watkins, and Bill Tanenbaum consider solutions to the challenges facing corporate Boards of Directors and the C-Suite as they integrate AI into their business. Bill and Karen discuss the new roles of the General Counsel, the complexities at the Board level of developing AI strategies, and whether AI means that a “skunk works” group should be used along with existing corporate departments in developing strategies. They also address, among other issues, why Boards need to consider national security issues raised by AI and the corporate sustainability issues arising from the tremendous amount of electricity used to run data centers for AI. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Bill Tanenbaum and Amir Ghavi of Fried Frank discuss the different types of open and vendor-provided Large Language Models (LLMs) and how they work, and what “fine-tuning” a model means. AI models can be viewed as the inverse of software. Software starts with rules, applies rules to data, and that generates output. AI starts with data, applies an algorithm to the data, and that generates rules. To conduct fine-tuning, a company starts with a pre-trained LLM and adds data that is specifically related to a desired set of corporate tasks to generate tailored rules. Along with other forward-looking issues, Bill and Amir address why fine-tuning is the future of corporate use of Generative AI, why hallucinations will become less problematic, and the contract terms and other factors that companies and their counsel should consider in selecting the pre-trained LLM. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Bill Tanenbaum and Suneil Thomas, Managing Counsel at Google Cloud AI, discuss the evolution of AI from Machine Learning (a type of Non-Generative AI) and Siri and Alexa to today’s Generative AI, and offer predictions about the next evolutionary step in Generative AI. Suneil discusses transformer models and other technology behind Generative AI offerings like LLMs. He addresses the perspective of companies as customers of cloud AI technology, what “adaptive layers” and “APIs” are, how customers will use them to customize Generative AI in the next evolutionary step, and the role of regulations in that customer use. Bill and Suneil also discuss some current business uses of Generative AI. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.

Join host William A. Tanenbaum of Moses & Singer, recognized as a leader in AI and data law, for a series of conversations with general counsel in tech, law firm partners, and business and technology thought leaders actively working at the exciting crossroads of AI, data, and the legal landscape. PLI is proud to keep you ever current with timely programs, publications, and podcasts. Visit http://pli.edu/aipod to learn more about our AI resources. Please note: CLE is not offered for listening to this podcast, and the views and opinions expressed within represent those of the speakers and host, and not necessarily those of PLI.