AI Human Impact and Ethical Investing
summary
Proposes an investment-ready scoring system that rates AI-intensive firms on specific human-impact criteria — autonomy, dignity, privacy, safety, performance, accountability — and applies it to cases. Smart glasses score privacy -1, performance +1 because face recognition enables instant profiles but erodes control over self-presentation. Tesla autopilot prompts safety and accountability scrutiny despite 137 million miles per fatality vs 94 million US average and 60 million world average; investors can demand disclosure and engineer for both ethical and technical performance.
AI-written summary · about
chapters (16)
- 0:00Intro
- 3:33Safety
- 5:06Dignity
- 6:22Explainability
- 8:50My Case
- 12:51Why Care
- 16:36Title
- 23:41How will this work
- 24:43What is privacy
- 25:38Why do we want privacy
- 29:01AI intensive companies
- 30:15Investors
- 31:36Tesla
- 32:26Tesla Safety
- 33:34Tesla Autonomy
- 34:20Conclusion
related talks
16mMachine Intelligence With Humans in Mind
27mWriting the Playbook for Fair & Ethical Artificial Intelligence & Machine Learning
21mUnderstanding Human Impact: Social and Equity Assessments for AI Technologies
17mAI Law & Ethics: developing responsible AI systems
46mAI vs Humans Rewriting the Rules of Success
47mHow can we make the most of Ethics applied to AI?
34mEthical framework for AI : Creating AI powered products that empower people
01h 08mWHOSE DIGITAL FUTURE? ENGAGING CITIZENS IN AI DEVELOPMENT AND IMPACT ASSESSMENT