"Hack the Future: Why Congress and the White House are supporting AI Red Teaming" Austin Carson

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  • number6
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    • Apr 2019
    • 2172

    #1

    "Hack the Future: Why Congress and the White House are supporting AI Red Teaming" Austin Carson

    Hack the Future: Why Congress and the White House are supporting AI Red Teaming
    Austin Carson, Founder & President of SeedAI, He/Him
    Dr. Arati Prabhakar
    45 Minutes

    On May 4th, the White House announced the AI Village at DEF CON's Generative AI Red Team and their participation, followed by announcements from the House and Senate AI Caucus leadership and the National Science Foundation.

    In this panel, we'll hear from top officials and executives about how they're balancing the explosion of creativity and entrepreneurship from the advent of GenAI with the known & unknown risks of deployment at scale.

    We'll also hear how this exercise is viewed as a model for enhancing trust & safety through democratizing AI education. Panelists will also discuss why it's meaningful to bring together thousands of people from different communities to conduct the exercise across the available AI models.

    Austin Carson is the Founder and President of SeedAI, a nonprofit established to work with a diverse group of policymakers, academics, and private sector experts to help communities across the United States access the resources they need to engage with AI.

    Previously, Austin established and led the DC government affairs operation for NVIDIA [translating NVIDIA’s expertise in artificial intelligence and high performance computing for policymakers]. Prior to joining NVIDIA, he held a number of public sector and NGO positions, serving as Legislative Director for Chairman Michael McCaul and Executive Director for the Technology Freedom Institute. Austin co-founded the Congressional Tech Staff Association, co-led the Congressional Cybersecurity Caucus and the Congressional High Tech Caucus [and is a founding fellow of the Internet Law and Policy Foundry.]

    REFERENCES:
    We Need Bug Bounties for Bad Algorithms - Amit Elazari - https://www.vice.com/en/article/8xky...bad-algorithms

    Introducing Twitter’s first algorithmic bias bounty challenge - Rumman Chowdhury & Jutta Williams - https://blog.twitter.com/engineering...unty-challenge

    Sharing learnings from the first algorithmic bias bounty challenge - Kyra Yee & Irene Font Peradejordi - https://blog.twitter.com/engineering...unty-challenge

    Bias Buccaneers - Rumman Chowdhury, Jutta Williams, Subho Majumdar, Scott Steinhardt, Ben Colman - https://www.biasbuccaneers.org/

    An Algorithmic Framework for Bias Bounties - Ira Globus-Harris, Michael Kearns, Aaron Roth - https://arxiv.org/abs/2201.10408

    Machine Learning Security Evasion Competition - Hyrum Anderson, et al. - https://mlsec.io/ https://cujo.com/announcing-the-winn...n-competition/

    MITRE ATLAS - Ram Shankar Siva Kumar, et al - https://atlas.mitre.org/

    The Spherical Cow of ML Security - Sven Cattell - http://aivillage.org/adversarial%20ml/spherical-cow/

    The Case for a Hippocratic Oath for Connected Medical Devices: Viewpoint - Beau Woods, Andrea Coravos, and Joshua David Corman - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444210/

    Announcing OpenAI’s Bug Bounty Program - https://openai.com/blog/bug-bounty-program

    Microsoft Malware Classification Challenge - Royi Ronen, Marian Radu, Corina Feuerstein, Elad Yom-Tov, Mansour Ahmadi - https://www.kaggle.com/c/malware-classification https://arxiv.org/abs/1802.10135
    Last edited by number6; August 12, 2023, 07:41.
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