"AI Everywhere, Volume 2" is the second in a series of human-centered guides to living and working well in an age of intelligent machines. This volume turns to AI at work: drug discovery, healthcare, tax administration, marketing, higher education, labor practices, and the social-impact sector. Volume 2 in our She Writes AI Everywhere collaboration offers 10 new chapters by women and nonbinary authors, focused on business applications of AI. Our 12 authors from seven countries have decades of combined hands-on experience with using AI tools - and knowing when not to use AI tools. You'll learn what AI is genuinely good for in each field, what it still gets wrong, and who carries the cost, so you can bring it into your own organization thoughtfully, with human oversight where it counts.Chapters: Amy Swaner (USA) - "Human In Charge: Five Conditions For Meaningful AI Oversight"Ana Mourão (Brazil, USA) - "The Agent Of Context: Why AI's Most Important Marketing Skill Isn't Technical"Anna Levitt (Poland, USA) - "Why AI Adoption Is An Identity Crisis, Not A Training Problem"Astrid J. Scholz, PhD (USA) - "AI for Good: Whether And How To Use AI When You Are In The Business Of Making The World Better"Catarina Costa Abreu (Portugal, USA) - "The Algorithm Will See You Now: Opportunity And Risk Of AI In Healthcare"Celeste Garcia (USA) - "Labor Exploitation: Big Tech's Dirty Secret"Emma M. Joseph (Kenya) - "Emotionally Intelligent AI And The Translator In The Machine: How Neurodivergent Minds Are Rewriting The Future Of Human-Centered Technology"Jennifer Percival, PhD with Tawnya Means, PhD (USA) - "The Practicing Institution: What Happens When A Business School Models The Human+AI Collaboration It Teaches"Marcela Distefano (Argentina) - "When The Algorithm Decides: The Urgent Case For Ethical Guardrails In AI-Driven Tax Administration"Marina T. Alamanou, PhD (Greece) - "Demystifying AI In Drug Discovery: From Hit To Lead Drug Candidate With AI"The book includes extensive References plus an Introduction and Afterword by Karen Smiley. For additional insights on how women are learning and using AI and how women are influencing AI impacts on our society, see Volume 3 and Volume 4 (releasing concurrently) and Volume 1.
