Artificial Intelligence Comes with Real Responsibility: Keeping Safety First

Explore how one major cloud and AI-provider, Microsoft, has approached generative AI design and risk mitigation, as well as industry practices and recommendations. We will learn about the building blocks of responsible AI systems design; including practical approaches for identifying, measuring, and mitigating harms, and ensuring that controls are engineered into AI systems at the outset.

Generative Artificial Intelligence represents one of the most consequential technological advances of our lifetime, but its promise to improve efficiency, reduce costs, and accelerate research and development must be considered together with potential societal impacts and ethical obligations.

Hear from Roma Nandwani (Principal Corporate Counsel, Microsoft Corporation); Dale Kadlec (Senior Attorney, Microsoft Corporation); Anna Mercado Clark (Partner, Phillips Lytle, LLP); and Janet Stiven (Vice President & General Counsel, The Moody Bible Institute of Chicago).

The panel's discussion will help you guide stakeholders to deploy responsibly safe generative AI systems.

We will discuss many topics, such as:

• AI - Intro: Meeting AI In the Moment (History of AI) Generative AI Example of major AI player's (Microsoft's) approach to AI
• AI Governance Principles Fairness Reliability and Safety Privacy and Security Inclusiveness Transparency Accountability
• Responsible AI Governance Framework: We will learn about how to create a responsible AI governance framework which includes AI governance principles and discuss common AI principles among major AI players (Microsoft, Google, etc.)
• Anatomy of a Responsible AI Standard: We will explore examples of AI standards and benchmarks.
• Impact Assessments: We will discuss assessment tools embedded in AI products and their impacts. Ethics of AI use (UNESCO published its own core principles)
• Handling sensitive AI uses and how to mitigate the risks of sensitive use cases.
• Transparency documents Microsoft has issued for stakeholder consideration to make informed decisions (technology, people, and environment)
• Shaping AI Regulation: How AI companies are helping shape regulations.
• Key Contractual Issues Data Usage Privacy Laws Liability & Indemnification Intellectual Property
• Legal Landscape for AI laws that address AI specifically, and court rules about AI use. Legislation enacted/adopted in: Arizona, Connecticut, Georgia, Hawaii, Louisiana, Maryland, Minnesota, Mississippi, New Mexico, North Dakota, Puerto Rico, Rhode Island, Texas, Washington, and West Virginia. Court rules and rulings in New York, Texas, Illinois, and Manitoba, Canada.