Episodes
Wednesday Jul 26, 2023
Wednesday Jul 26, 2023
On this episode, we’re joined by Parul Pandey, Principal Data Scientist at H2O.ai and co-author of Machine Learning for High-Risk Applications.
Although AI is being widely adopted, it poses several adversarial risks that can be harmful to organizations and users. Listen to this episode to learn how data scientists and ML practitioners can improve AI outcomes with proper model risk management techniques.
Thursday Jun 29, 2023
Thursday Jun 29, 2023
On this episode, we’re joined by Peter Norvig, a Distinguished Education Fellow at the Stanford Institute for Human-Centered AI and co-author of popular books on AI, including Artificial Intelligence: A Modern Approach and more recently, Data Science in Context.
AI has the potential to improve humanity’s quality of life and day-to-day decisions. However, these advancements come with their own challenges that can cause harm. Listen to this episode to learn considerations and best practices organizations can take to preserve human control and ensure transparent and equitable AI.