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on
1
Introduction
2
Congresss Role in AI
3
Public Safety
4
Unintended Consequences
5
Rush to Market
6
Training AI to be Smarter
7
AI Responsibility is Mandatory
8
Concerns
9
Congress and the Private Sector
10
Solutions
11
Soft Laws
12
Diversity
13
Dynamic Governance
14
What is Responsible AI
15
How to translate principles into practice
16
What looks good
17
Consumer education
18
Transparency reporting
19
Race to the bottom
20
American Principles
21
Audience Question
22
New York Bias Audit
23
Values
24
Cyber security perspective
25
Privacy implications
26
Conclusion
Description:
Join a panel of experts from industry, academia, government, and law enforcement for a thought-provoking webcast on developing policies for responsible AI use. Explore the business, social, and human impact of AI technologies while discussing standardized approaches to AI governance. Delve into topics such as Congress's role in AI, public safety concerns, unintended consequences, and the rush to market. Examine strategies for training AI to be smarter, the mandatory nature of AI responsibility, and potential solutions including soft laws and dynamic governance. Gain insights on translating principles into practice, consumer education, transparency reporting, and maintaining American principles in AI development. Address critical issues like bias audits, values integration, cybersecurity perspectives, and privacy implications. Engage with audience questions and benefit from diverse viewpoints on navigating AI adoption while prioritizing responsible use.

Developing Policies for the Responsible Use of AI Technologies

RSA Conference
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