"Testing the Ethics of Intelligent Systems"
summary
An introductory, conceptual presentation on testing the ethics of autonomous and intelligent systems, covering ethical pillars and general principles such as human rights, wellbeing, data protection, effectiveness, transparency, traceability, error recognition, and competence. It presents general recommendations and a conceptual framework for designing and testing ethical alignment in autonomous systems and briefly introduces the IEEE P7000 family of standards for addressing ethical concerns during system design.
AI-written summary · about
chapters (10)
- 0:00Start
- 2:16Disclaimer
- 2:51Introduction
- 3:43Ethics
- 4:54Base Document
- 7:42Areas of Impact
- 8:29Implementation
- 9:32What and How to Test?
- 39:53New Positions?
- 40:30Standards, Localizations!
related talks
03mDeveloping AI responsibly
20mImplementing Ethics: Developing Trustworthy AI
32mSo you want to develop ethical AI. What does that mean in practice?
23mLet’s talk about ethics and software testing
43mWhat You Always Wanted to Ask About Ethics in AI
30mAI Ethics: The Trees that Conceal the Forest
12mNavigating the Future: Principles of Responsible AI
15mUtility vs Sanctity: Designing an ethically acceptable AI
