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RSAConference 2019 San Francisco March 4-8 Moscone Center
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Roadmap
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How Does it Work? (Autonomous Vehicle Example)
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Neural Networks and the Brain
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Attacking Neural Networks
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Billion Plus Liabilities
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Possible Causes of Action
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Use Cases of Al/Machine Learning Liability
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Unlawful Algorithmic Biases
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Al Discrimination and Hiring Practices
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The State of Al Fairness
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Human Solutions to Al Problems
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Black Box Decisions
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Disparate Impact Analysis
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EU Machine Decision Rules
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Areas of Focus to Mitigate Legal Risk
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Autonomous Driving
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Future Modes of Transportation
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Al in Healthcare
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Surgical Robots
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Service Robots in a Hospital Setting
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Read this Book
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Educate Yourself on Policy and Business Issues
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Join the Community - Meetup on Robotics and Al Policy Issues
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Form a Team to Tackle Al Risk
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Assess Al's Impact to Your Organization
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Al Risk Management by Design: Develop the Program
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Questions?
Description:
Explore the legal risks and mitigation strategies associated with AI and machine learning applications in this 51-minute conference talk from RSA Conference. Delve into how neural networks and machine learning can create vulnerabilities and expose companies to litigation. Learn about potential billion-plus liabilities, causes of action, and use cases of AI/ML liability, including unlawful algorithmic biases and AI discrimination in hiring practices. Examine the state of AI fairness, human solutions to AI problems, and the challenges of black box decisions. Discover areas of focus for mitigating legal risks in autonomous driving, healthcare, and service robots. Gain insights on educating yourself about policy and business issues, joining the AI and robotics policy community, forming a team to tackle AI risk, and developing an AI risk management program by design. Equip yourself with the knowledge to navigate the complex legal landscape of AI and machine learning implementation in various industries. Read more

AI and Machine Learning - Managing the Risks of Major Lawsuits

RSA Conference
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