Artificial intelligence is a hot topic for the world and often a challenging subject in traditional data programs. What will be your response when AI is introduced to your organization? This workshop features discussions of recent successes and disturbing incidents. We will focus on understanding how they were discovered, their handling, and lessons learned. We will focus on people and process issues encountered with each incident. We will then lead discussions on these topics to help you build a strategy for updating your data governance and management programs.

-Transparency: Are AI models understood? Explainable?
-Data Quality: Do we understand the quality of the training data? -Does everyone else?
-Fair: Does our use of AI treat people fairly? Does it avoid and measure biases? What about the training data?
-Human Verification: Will we be using AI to make final decisions? -How do we know we can trust those decisions? Is there an appeal or reversal process?
-Privacy and Data Protection: Do we have consent to use the data we want to use? How do we know?
-AI and Data Literacy: Will knowledge workers be able to build and deploy AI solutions independently?
-Accountability: Is the organization ready to be accountable for the uses and outcomes of AI?
-Monitoring: How and who will monitor the AI process? Will there be reporting and oversight?

This can be a one-hour session, half-day, or full-day workshop with exercises.