DeveloperWeek Management 2024 + AI DevSummit 2024 (+ DW Europe/LATAM 2024)

Madhumita Mantri, StarTree.ai, Product Lead
Tushar Thole, StarTree.ai, Head of Applications Engineering

Algorithmic bias can have serious consequences in AI-driven decision making. This talk explores how real-time anomaly detection can be used to mitigate bias in AI models.

We'll delve into how anomaly detection can flag potentially biased outputs, enabling human intervention or model adjustments before biased decisions are made. This proactive approach helps ensure fairness and ethical use of AI systems.

The talk will discuss:

- How anomaly detection identifies patterns indicative of bias in real-time data streams.
- Strategies for integrating anomaly detection with AI models for bias mitigation.
- Real-world examples of how organizations are using this approach to safeguard their AI systems.