About this Workshop
Autonomous decision making is making life changing decisions that impact all of us.
Machine decision making is used in healthcare access, insurance pricing, tenant screening, critical justice, employment screening and military applications. How are these decisions made? We often don’t know.
Last month, the EU passed the world’s first comprehensive AI law. In October 2022, the White House enacted the AI Bill of Rights. Many countries are developing similar AI regulations.
The common element of all these regulations is establishing trust and defining the rules of engagement between humans and machine.
Accountability, assurance, and explainability of AI systems have become a national security, personal identity, equity and safety, public policy issue globally. This presentation will explain how to assure high risk, public facing, and decision making AI systems using multiple risk management frameworks.
Learning оbjectives:
- Explain the current state of the EU, U.S., Canada, and Australia AI regulation.
- Describe risk assurance requirements and potential regulations for automated, publicfacing, decision-making tools.
- Discuss risk assurance and auditing methodologies including the AI RMF, ISO 42001, & IEC 23894.
- Discuss the 3 key questions every company must ask in developing AI systems.
- Determine types of risk controls and risk assurance should be applied to different types of AI.
- Discuss the future of AI risks and reasonable controls.