In this episode of The SciTech Lawyer Perspective, American Arbitration Association Commercial Vice President Aaron Gothelf interviews ABA Science & Technology Law Section's Chair-Elect, Matt Henshon to discuss his new book, “A Lawyer's Guide to AI: Ten Essential Concepts.” The conversation traces AI’s development from early predictive models to modern generative tools, emphasizing the role of data, pattern recognition, and prediction. Matt examines what distinguishes generative AI from earlier forms of machine learning, how data quality shapes AI outcomes, and why challenges such as overfitting and opacity pose problems for AI users. From a legal perspective, the episode examines algorithmic accountability, the adequacy of existing legal frameworks, and the issues lawyers and policymakers should be paying the closest attention to.

In this episode of The SciTech Lawyer Perspective, host Donata Stroink-Skillrud sits down with Gert Taeymans, founder of Tymans Group, for an in-depth discussion of two of the European Union’s most consequential technology regulations: DORA and NIS2. Together, they break down what these regulatory frameworks entail, when and how they apply to U.S. companies, and why they matter beyond the EU. The conversation highlights how themes such as operational resilience, third-party risk management, and executive accountability are redefining cybersecurity and governance expectations, with implications that are increasingly global in scope.

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In this episode of The SciTech Lawyer Perspective, American Arbitration Association Commercial Vice President Aaron Gothelf interviews Bridget McCormack, President & CEO of the American Arbitration Association, for a substantive discussion on the AAA’s groundbreaking new AI Arbitrator.

The conversation examines the motivations for developing the tool, the role of large language models in enhancing parties’ sense of being heard, the potential for AI to expand access to justice, the ways human arbitrators are supporting and overseeing the system, the safeguards implemented to mitigate AI bias, the prospects and limits of AI in relation to human decision makers, and the unique position of the AAA to lead this technological advancement.