George Mathew, Managing Director, Insight Partners
DescriptionWe are rapidly accelerating towards a future where AI/ML models are becoming essential for how society makes decisions. Further, we find ourselves increasingly reliant upon ‘black box’ models and algorithmic techniques in our decision-making process. But how can we ensure that AI and ML models are ethical and transparent when making these decisions at scale? In this timely session, AI expert and Insight Partners Managing Director, George Mathew, will discuss how Explainability is creating a pathway to help us understand these models as they evolve to help humanity make better decisions.
Takeaways- It is important to consider all potential (positive & negative) impacts of AI/ML on individuals and society as we deploy these systems at scale.
- Explainability is crucial for ensuring ethical use of AI/ML at scale. It allows for understanding of how algorithms make decisions and helps identify potential biases or unfairness in the system.
- Organizations using AI/ML at scale must be transparent and accountable for their decisions and actions including regular evaluations of algorithms to ensure they are operating in an unbiased and fair manner.
