Discovering how we can fight AI bias through understanding, holistic data, best practices & explainability

Join the conversation #reworkAI

Previous Speakers Include:

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Alex London

Director of the Center for Ethics and Policy

Carnegie Mellon University

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Kathy Baxter

Architect, Ethical AI Practice

Salesforce

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Amulya Yadav

Assistant Professor

Pennsylvania State University

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Chelsea Finn

Research Scientist & Post-doctoral Scholar

Google Brain & Berkeley AI Research

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Timor Kadir

Founder & CSTO

Optellum

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Joanna Bryson

Professor

University of Bath

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Nazneen Fatema Rajani

Senior Research Scientist

Salesforce Research

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Avriel Epps-Darling

Ph.D. Candidate

Harvard University

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Wael AbdAlmageed

Research Associate Professor

USC Viterbi

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Lukas Biewald

Co-Founder and CEO

Weights and Biases

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Tobias Schwinn

Research Associate, Institute for Computational Design

University of Stuttgart

More Speakers Coming Soon
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New This Year

    1. Shorter Duration to provide bitesize learning & networking with minimal disruption to your working day
    2. Access New Online Communities to develop meaningful connections for future collaborations via 1:1 chats and roundtable discussions
    3. Live Q&A with AI experts and business leaders to ask questions specific to your business, challenge or field of interest
    4. Hear from Expert Speakers on the latest trends and advancements in how to identify and fight AI bias in industry
    5. Participate from any device so that if you're on the move or at home, you won't miss out!
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Avoiding AI Bias in Industry Mini-Summit

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Topics we cover

Risk Management

Data Security

Accountability

Machine Learning

Deep Learning

AI for Good

Data Quality

Computer Vision

Policy

Natural Language Processing

Risk Management

Data Security

Accountability

Machine Learning

Deep Learning

AI for Good

Data Quality

Computer Vision

Policy

Natural Language Processing

Why Join?

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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    Hear from global experts in AI bias who are working to overcome discriminatory practices in algorithm development and deployment. Discover best practices on how to identify bias in your data sets, reduce bias in human-related processes, and address historical and social inequalities to produce fair outcomes.

  • Discover

    Discover Emerging Trends

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    What are the best practices for preventing training bias? How are leading organizations obtaining superior quality training data without compromising privacy or security? Areas of AI bias that will be addressed include Recruitment, Elections, Criminal Justice Systems, and Recommendations. Ask your burning questions about tackling bias in AI during our extensive round table discussions.

  • Network

    Expand Your Network

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    A unique opportunity to interact with business leaders, influential technologists, data scientists & entrepreneurs progressing AI tools and methods to fight bias in AI. Learn from & connect with 200+ industry innovators and leading researchers sharing best practices and advancements.

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    Who Should Attend

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  • Join

    Join the discussion

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    • 10 speakers
    • 200 leading data scientists & innovators
    • Keynote Presentations
    • Panel Discussion
    • Unlimited networking & connections
    • Access to filmed presentations & slides
    • Discover technology shaping the future
  • Download

    Downloads

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    View the summit brochure for further details on joining and participating in the event online.

regular Attendees Include

AIG
Bank of Canada
Borealis AI
Carnegie Mellon University
CBC Radio Canada
deloitte
huawei
Shopify
Mila
Microsoft
Montreal AI Ethics Institute
SAP
Kindred AI
Element AI
Google
Capital One
facebook
insitro
Wayfair
Walmart
samsung
santander
The Home Depot
Barclays
Monzo
HSBC
AXA
Qualcomm
QuantumBlack
Target
Staples
Starbucks
McDonalds
ASOS
UK Department for International Trade
Department of Defense
USAA

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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Event Organiser/

Nikita Johnson

Founder

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 include

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Nvidia usa.001
Samasource.001

As Featured In

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Avoiding AI Bias in Industry Mini-Summit

Register now
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