Recommendations are made for executives, decision-makers, and stakeholders on how they can best guide their company's work in AI to maximize impact while minimizing potential liabilities.
- [Instructor] When executives are considering…an artificial intelligence project,…one of the most important things you can do…is to look at the ROI of AI.…The idea here is that AI works better…for some projects than others.…It works great for photo identification,…for natural language processing.…But for other familiar quantitative tasks,…simpler and faster methods may be more appropriate.…Make sure to base your ROI, or return on investment,…calculations on reasonable projections.…I have seen people talk about various technologies…and say it's going to be a trillion…or $100 trillion market…or that something's the most important development…in the last 500 years.…
People come out and then it's sort of hard…to make an ROI when somebody says…a technology is of infinite value.…You can't do that in real life.…Don't get caught in the hype cycle.…Remember that AI is a tool,…and like any tool you need to make sure…it's going to work well…for what it is you're trying to accomplish.…As an executive, you need to be aware…of the data restrictions.…
- 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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