Brennan Pursell, MBA, PhD is Professor of Business and History at DeSales University and the founding director of the Applied AI Program. He teaches a wide range of courses in the undergraduate and MBA programs and provides consulting services to businesses large and small. Outsmarting AI is his fifth book. He lives with his family in the greater New York metropolitan area.
Joshua Walker, considered a pioneer in the emerging field of law and computer science, is the co-founder of both CodeX (Stanford Center for Legal Informatics) and Lex Machina—one of the first practical legal AI companies, regularly used by many of the Fortune 500, law firms, and all three branches of the US government. He is also the author of “On Legal AI” and is seeking to help architect the next generation of AI tools for regular folks. He and his family are based in San Francisco, California.
Pursell breaks down the myths associated with Artificial Intelligence (AI), talks generally about AI implementation, and makes suggestions about the application of AI in businesses and everyday life. This book is written not solely for the technologically minded, thus the text is not heavy with AI language, but is more accessible because of its rather compact (with just six chapters) nature. Recommended for general readers curious about AI, and business owners interested in implementing AI to realize a ROI (return on investment).
Pursell (DeSales Univ.) and Walker (Stanford Univ., Center for Legal Informatics) provide advice on applying artificial intelligence (AI) in the business world, meanwhile dispelling the myth that AI has so far created applications only in narrow areas, e.g., playing chess. Chapters 1–3 tackle widely held AI myths, present key ideas to help businesses develop suitable AI applications, explain what AI can and cannot do, and discuss how to acquire and develop AI applications that will lead to higher profits. Chapter 4 addresses how to estimate and control costs. Chapter 5, on "AI governance," describes a specific platform (EDEN) suitable for developing business applications. The final chapter presents two EDEN case studies. One implementation, Lex Machina, was built at Stanford as open source software (OSS). The use case was to gain better control of federal intellectual property case law data. System developers used EDEN's attributes: Empirical data were drawn from federal patent litigation; the Design targeted primary users—judges, attorneys and concerned citizens; the system was architected to Evolve, constantly improving the accuracy and scope of legal event classification; and complex outputs were Netted by AI weighting protocols. This very informative and readable book is suitable for business school students and faculty, especially those aspiring to leadership through increased profits and productivity. Summing Up: Recommended. Lower-division undergraduates through professionals.