Developers typically work under the assumption that the outcome, such as the prediction, classification, or allotment, is what is most important to people. However, decades of research in moral development and social relations highlight the importance that people give to the way that people reach their decision, a consideration that is ignored by most AI algorithms.
- [Instructor] Since we're talking…about artificial intelligence,…it's probably appropriate to bring up…Asimov's Three Laws of Robotics.…These are from science fiction,…but they're so familiar to people…that they bring up an important point here.…Asimov's Three Laws of Robotics.…Number one, a robot may not enter a human being…or through inaction allow a human being to come to harm.…Number two, a robot must obey the orders…given it by human beings, except where such orders…would conflict with the first law.…And three, a robot must protect its own existence,…as long as such protection does not conflict…with the first or second laws.…
And the idea here is this makes robots safe…and it makes them do the right thing in all situations.…But it turns out that moral decisions and ethical decisions…can be a lot more complex than that.…So for example, I want you to think…about some ethical dilemmas that can be confronted…by artificial intelligence, where it's hard to know…whether you should say yes or no, go left or right.…
- Bias in AI
- Navigating the social challenges of AI
- Moral reasoning and relational ethics
- General Data Protection Regulation (GDPR) and AI
- Discrimination in data
- Liability and AI
- AI in life-and-death situations
- Confronting the challenges of AI as a developer, executive, and consumer
Skill Level Intermediate
1. The Context for AI
2. Technical Challenges of AI
3. Social Challenges of AI
4. Legal Challenges of AI
5. Safety Challenges of AI
AI in the military4m 36s
6. Confronting the Challenges of AI
Next steps2m 52s
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