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

Join the conversation #reworkAI

Early Confirmed Speakers:

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Kathy Baxter

Principal Architect, Ethical AI Practice

Salesforce

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John Lunsford

User Experience Researcher

Uber

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Kyra Yee

Machine Learning Research Engineer

Twitter

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Sonu Durgia

Product Lead, AI Fairness

Meta

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Ban Kawas

Senior Research Scientist - Reinforcement Learning

Meta

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Kinjal Basu

Senior Staff Software Engineer

LinkedIn

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Alexandra Ross

Senior Director, Senior Data Protection, Use & Ethics Counsel

Autodesk

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Frankie Cancino

Data Scientist

Mercedes-Benz Research & Development

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Nikon Rasumov

Product Manager

Meta

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Aalok Shanbhag

Senior Machine Learning Engineer

Snap Inc.

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Alec Shuldiner

Data Ethics Program Lead

Autodesk

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Shilpi Agarwal

Founder & Chief Data Ethics Officer

DataEthics4All

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Anne de Hond

Visiting Researcher

Stanford University School of Medicine

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Julia Anderson

Conversation Designer

Freelance

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Dr. John Rares Almasan

Associate Partner, Distinguished Engineer and Cloud & AI Technology Executive Leader

McKinsey & Company

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Usha Jagannathan, Ph.D.

Principal Engineer and Digital Innovation Leader

McKinsey & Company

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Jaspreet Singh

Senior Principal Engineer

McKinsey & Company

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Arjun Prakash

Director of Solutions

Snorkel AI

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Apostol Vassilev

Research Team Lead; AI & Cybersecurity Expert

National Institute of Standards and Technology (NIST)

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Supreet Kaur

Assistant Vice President

Morgan Stanley

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Abhishek Gupta

Senior Responsible AI Leader & Expert, Boston Consulting Group (BCG) and

Founder & Principal Researcher, Montreal AI Ethics Institute

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Christelle Mombo-Zigah

Responsible AI Committee Member

Cisco

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Marieke van Buchem

Visiting Researcher

Stanford University

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New This Year

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

    2. Solve shared problems with AI 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

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MLOps Summit San Francisco

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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 AI 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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    • Influential AI speakers
    • Leading technologists & innovators
    • Keynote presentations & panel sessions
    • Roundtable discussions + speaker Q&A
    • Unlimited networking & connections
    • Discover technology shaping the future
  • Download

    Downloads

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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 Flash

Senior Conference Producer- Americas

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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Sponsors Include:

Comet.001
Valohai
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Snorkel
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Media Partners & Press

Kd nuggets.001
Ai time journal.001
Aij.001
Bigdataanalytics resized
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As Featured In

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MLOps Summit San Francisco

Purchase one ticket and get access to all 2 tracks

Register now

MLOps Summit San Francisco

MLOps Summit San Francisco

15 - 16 June 2022

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