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1
Introduction
2
The promise of AI
3
Problems with AI
4
Lack of control
5
How to become more responsible
6
Googles Principles
7
Respect the User
8
Establish Effective Governance
9
People are Essential
10
Model Understanding
11
Model Interpretation
12
Data Cards
13
Multiple Metrics
14
Secondary Models
15
Complex Blended Functions
16
Responsibilities
17
Conclusion
18
Recap
19
Resources
Description:
Explore the critical aspects of responsible AI implementation for business leaders in this GOTO Copenhagen 2019 conference talk. Delve into the promises and challenges of AI advancements, including bias, adversarial attacks, and unintended societal impacts. Discover Google's approach to responsible AI through principles, governance, and best practices. Learn why investing in responsible AI is crucial for meeting stakeholder expectations and mitigating business risks. Gain insights into effective strategies such as respecting users, establishing governance, prioritizing human involvement, and enhancing model understanding. Examine practical examples and techniques like data cards, multiple metrics, and complex blended functions to ensure AI responsibility in real-world applications.

Responsible AI for Business Leaders

GOTO Conferences
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