There’s no question that AI and the powerful insights it can deliver are a massive opportunity for organizations. But using the technology also involves a lot of risk, particularly when it comes to the fairness and accuracy behind how it makes decisions.
Given recent high-profile incidents of bias and discrimination caused by algorithms that determine such things as creditworthiness, organizations must urgently address the widening trust gap. If they don’t, they’ll introduce even more risk into their businesses.
During this podcast, Dr. Sander Klous, Data & Analytics leader for KPMG in the Netherlands and Professor of Big Data Ecosystem at the University of Amsterdam, and Martin Sokalski, KPMG Global Emerging Technology Risk leader, sat down with Samantha Gloede, a managing director in the firm’s U.S. Advisory practice, to discuss:
- why and how to drive greater trust with all stakeholder groups by focusing on the explainability of AI fairness, integrity, and resilience
- whether it’s out of AI algorithms’ scope and ability to make truly empathic – or humane – decisions
- how organizations can prevent cyber threats and other risks from interfering with the integrity of their AI systems
- considerations to implement controls on how AI can function properly and in line with an organization’s strategy.