In this video, learn best practices and how applications in responsible AI can vary depending on the industry.
- [Instructor] Best Practice. … When it comes to being responsible, … there is no clear best practice. … Usually governments take a long time … to put together their resources … to start creating policies … that keep up to pace with technology. … Sometimes it takes worldwide human rights movements … to make people think about how their data is being used, … where it's being used, … and what inherent biases may be included … in the decisions that they're making every day. … This means that there's a large amount of leadership … shown in various fringe conferences, … and organizations realize that there are emerging problems … that need to be addressed. … The good news is that there are many companies … that are constantly putting out new documents and sources … to help understand algorithms. … The bad news is that there are so many sources sometimes … it's hard to know what's useful, … and it's easy to get overwhelmed. … It also adds to the question, … "Should we be following these individual companies …
Author
Released
10/28/2020Skill Level Beginner
Duration
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Introduction
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1. Introduction
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Introduction1m 32s
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What is AI?1m 41s
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Example case studies1m 5s
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2. Overview and Risks
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Risks of irresponsible AI1m 40s
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Challenge: Brainstorm a risk1m 12s
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3. Comprehension
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Understanding algorithms2m 54s
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Understanding decisions1m 39s
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4. Best Practices
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Global policies2m 13s
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Best practice2m 42s
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Challenge: Policy search1m 9s
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Solution: Policy search2m 28s
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Conclusion
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Video: Best practice