Schedule | ML Fairness Summit

08:00

WELCOME & OPENING REMARKS
DEVELOPING FAIR ML
08:10

Increasing Trust in ML Models via Explainability
08:35

Creating Accountable Systems
09:00

Securing Workflows: Privacy Preserving ML & Robustness in ML
09:25

COFFEE & NETWORKING BREAK
FAIR ML IN PRACTICE
09:35

Measuring Bias & Ensuring Fairness
10:00

Data Governance & Compliance
10:25

BREAKOUT SESSIONS: ROUNDTABLE DISCUSSIONS WITH SPEAKERS
10:45

COFFEE & NETWORKING BREAK
10:55

PANEL: How Can We Identify the Main Challenges & Overcome Them in Developing & Deploying Fair ML?
11:45

MAKE CONNECTIONS: MEET WITH ATTENDEES VIRTUALLY FOR 1:1 CONVERSATIONS & GROUP DISCUSSIONS
12:15

END OF SUMMIT

ML Fairness Summit ML Fairness Summit schedule