Discover strategies to ensure Machine Learning models are accountable & fair to build secure & responsible AI

Join the conversation #reworkAI

Previous Speakers Include:

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Sahab Aslam

Associate Director, Data Science Capabilities

Merck

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Krishna Sankar

Distinguished Engineer – AI

U.S. Bank

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Michael Tetelman

AI Research

Volkswagen Group

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Ramya Srinivasan

AI Researcher

Fujitsu Laboratories of America

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Georgios Damaskinos

Machine Learning Engineer

Facebook

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Aparna Dhinakaran

Co-Founder & CPO

Arize AI

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Madeleine Elish

Senior Research Scientist

Google

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Léa Genuit

Data Scientist

Fiddler

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Ariadna Font Llitjós

Director Engineering ML Platform

Twitter

View all Speakers

New This Year

    1. Receive access to multiple stages to optimize cross-industry learnings & collaboration

    2. Solve shared problems with 500+ attendees during round table discussions, Q&As with speakers or schedule 1:1 meetings

    3. Attend labs, participate in practical workshops & meet investors during Deep Dive Sessions

    4. Hybrid-Event options to participate virtually & connect with global attendees if you can't join in-person

    5. Witness live interviews and podcast recordings with speakers & re-watch again on our Video Hub

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ML Fairness Summit

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Topics we cover

Bias

Responsible AI

Accountability

ML Fairness

Data Governance

Machine Learning

Predictive Analytics

Troubleshooting

Automation

Anomaly Detection

Collaboration

Architectural Practices

Pattern Recognition

Cloud Computing

Data Efficiency

Bias

Responsible AI

Accountability

ML Fairness

Data Governance

Machine Learning

Predictive Analytics

Troubleshooting

Automation

Anomaly Detection

Collaboration

Architectural Practices

Pattern Recognition

Cloud Computing

Data Efficiency

Why Attend

Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.

  • Speakers

    Extraordinary Speakers

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    Industry experts, data engineers, & AI ethicists leading the fair ML revolution will share model developing, monitoring & auditing practices to ensure systems are secure, private & free of bias. Learn from & connect with 450+ industry innovators to share learnings, guidelines, and advice for ML ethics, transparency & accountability.

  • Discover

    Discover Emerging Trends

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    Uncover cutting edge techniques & management ideas to ensure fairness in the ML lifecycle. Topics include tools to conduct algorithmic audits, mitigating bias in systems, ethics in the MLOps process, A/B testing and fairness policy compliance.

  • Network

    Expand Your Network

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    A cross-disciplinary mix of pioneers will share expertise, vision and leadership to provide actionable advice and technical strategies for enterprises, government, startups, academia & industry to develop and progress AI in a fair, accountable and transparent way.

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    Who Should Attend

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    • AI Ethicists
    • AI Strategists
    • Cloud Engineers
    • CTOs
    • Data Engineers
    • Data Scientists
    • Developers
    • Ethics Researchers
    • Fairness Lead
    • IT Decision-Makers
    • Lead for Responsible AI
    • ML Engineers
  • Join

    Join the discussion

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    • 60 speakers
    • 500 leading technologists & innovators
    • Keynote presentations & panel sessions
    • Roundtable discussions + speaker Q&A
    • Access to filmed presentations & slides
    • Unlimited networking & connections
    • Discover technology shaping the future
  • Download

    Downloads

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    Coming soon!

Regular Attendees Include

Mercado Libre
Airbus
easyJet
EY
MIT
linkedin
IRCC
Aerospace Corporation
paypal
Shopify
Intact
Merck
CIBC
spotify
Service Now
Google
facebook
Zalando
OpenAI
Pfizer
Snapchat
Stanford University

Summary

Jeff Clune, Team Lead at OpenAI

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Presentation

Dawn Song, Professor of Computer Science at UC Berkeley

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Interview

Shalini Ghosh, Director of AI Research at Samsung Research

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What people say about RE•WORK/

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Event Organiser/

Katie Pollitt

Head of Events

Our events are all carefully created from scratch. The whole process from research to post-production is crafted by our team, so we are always available to assist with any queries! We look forward to meeting you at the event!

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Regular Partners

Sama21.001
Fiddler.001
Arthur.001

Exhibitors & Startup Showcase Area

Arize.001

Media Partners & Press

Kd nuggets.001
Ai ml events .001

As Featured In

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ML Fairness Summit

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