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Avijit Ghosh
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<p><a href="https://www.evijit.io" target='_blank'><strong>Dr. Avijit Ghosh</strong></a> is an Applied Policy Researcher in the Machine Learning and Society Team at <a href="https://www.huggingface.co/">Hugging Face 🤗</a>. He works at the intersection of machine learning, ethics, and policy, aiming to implement fair ML algorithms into the real world. He has published and peer-reviewed several research papers in top ML and AI Ethics venues, and has organized academic workshops as a member of <a href="https://www.queerinai.com/">QueerInAI.</a> His work has been covered in the press, including articles in <a href="https://www.nytimes.com/2023/08/16/technology/ai-defcon-hackers.html">The New York Times</a>, <a href="https://www.forbes.com/sites/rashishrivastava/2023/09/01/ai-red-teams-google-nvidia-microsoft-meta/">Forbes</a>, <a href="https://www.theguardian.com/technology/2024/mar/16/ai-racism-chatgpt-gemini-bias">The Guardian</a>, <a href="https://www.propublica.org/article/facebook-ads-can-still-discriminate-against-women-and-older-workers-despite-a-civil-rights-settlement">Propublica</a>, <a href="https://www.wired.com/story/new-york-city-proposes-regulating-algorithms-hiring/">Wired</a>, and the <a href="https://www.technologyreview.com/2021/02/11/1017955/auditors-testing-ai-hiring-algorithms-bias-big-questions-remain/">MIT Tech Review.</a> Dr. Ghosh has been an invited speaker as a Responsible AI expert, at events held by organizations such as <a href="https://www.sxsw.com/">SXSW</a>, <a href="https://www.trustworthyml.org/">Trustworthy ML Initiative</a>, <a href="https://avidml.org/arva/">AI Risk and Vulnerability Alliance</a>, and <a href="https://aivillage.org/">AI Village</a>. He has also engaged with policymakers, having spoken to <a href="https://www.linkedin.com/feed/update/urn:li:activity:7149203323592617984/">US Congressional Staffers</a> and to the <a href="https://www.gov.uk/government/organisations/centre-for-data-ethics-and-innovation">UK Government Centre for Data Ethics and Innovation</a>. His research and outreach have led to real-world impact, such as helping <a href="https://apnews.com/article/technology-business-race-and-ethnicity-racial-injustice-artificial-intelligence-2fe8d3ef7008d299d9d810f0c0f7905d">shape regulation in New York City</a> and causing Facebook to <a href="https://about.fb.com/news/2022/06/expanding-our-work-on-ads-fairness/">remove their biased ad targeting algorithm.</a></p>
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<p><a href="https://www.cyberneticforests.com" target='_blank'><strong>Eryk Salvaggio</strong></a> is a researcher and new media artist interested in the social and cultural impacts of artificial intelligence. His work, which is centered in creative misuse and the right to refuse, critiques the mythologies and ideologies of technologies that ignore the gaps between datasets and the world they claim to represent. A blend of <a href="https://www.cyberneticforests.com/defcon31">hacker</a>, <a href="https://www.techpolicy.press/author/eryk-salvaggio/">policy researcher</a>, <a href="https://www.cyberneticforests.com/about">designer and artist</a>, he has been published in academic journals such as <a href="https://www.sciencedirect.com/science/article/pii/S2666389920302397">Patterns</a>, <a href="https://direct.mit.edu/leon/article-abstract/56/6/575/115406/Infinite-Barnacle-The-AI-Image-and-Imagination-in">Leonardo</a>, and <a href="https://dl.acm.org/doi/10.1145/3587241">Interactions of the ACM</a>, spoken at <a href="https://www.cmc.ie/events/2024/apr/music-current-2024-eryk-salvaggio-ai-workshop">music</a> and <a href="https://www.acmi.net.au/stories-and-ideas/the-age-of-noise/">media festivals</a>, and has consulted on tech policy at the national level.</p>
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<p><a href="https://www.evijit.io" target='_blank'><strong>Dr. Avijit Ghosh</strong></a> is an Applied Policy Researcher in the Machine Learning and Society Team at <a href="https://www.huggingface.co/">Hugging Face 🤗</a>. He works at the intersection of machine learning, ethics, and policy, aiming to implement fair ML algorithms into the real world. He has published and peer-reviewed several research papers in top ML and AI Ethics venues, and has organized academic workshops as a member of <a href="https://www.queerinai.com/">QueerInAI.</a> His work has been covered in the press, including articles in <a href="https://www.nytimes.com/2023/08/16/technology/ai-defcon-hackers.html">The New York Times</a>, <a href="https://www.forbes.com/sites/rashishrivastava/2023/09/01/ai-red-teams-google-nvidia-microsoft-meta/">Forbes</a>, <a href="https://www.theguardian.com/technology/2024/mar/16/ai-racism-chatgpt-gemini-bias">The Guardian</a>, <a href="https://www.propublica.org/article/facebook-ads-can-still-discriminate-against-women-and-older-workers-despite-a-civil-rights-settlement">Propublica</a>, <a href="https://www.wired.com/story/new-york-city-proposes-regulating-algorithms-hiring/">Wired</a>, and the <a href="https://www.technologyreview.com/2021/02/11/1017955/auditors-testing-ai-hiring-algorithms-bias-big-questions-remain/">MIT Tech Review.</a> Dr. Ghosh has been an invited speaker as a Responsible AI expert, at events held by organizations such as <a href="https://www.sxsw.com/">SXSW</a>, <a href="https://www.trustworthyml.org/">Trustworthy ML Initiative</a>, <a href="https://avidml.org/arva/">AI Risk and Vulnerability Alliance</a>, and <a href="https://aivillage.org/">AI Village</a>. He has also engaged with policymakers, having spoken to <a href="https://www.linkedin.com/feed/update/urn:li:activity:7149203323592617984/">US Congressional Staffers</a> and to the <a href="https://www.gov.uk/government/organisations/centre-for-data-ethics-and-innovation">UK Government Centre for Data Ethics and Innovation</a>. His research and outreach have led to real-world impact, such as helping <a href="https://apnews.com/article/technology-business-race-and-ethnicity-racial-injustice-artificial-intelligence-2fe8d3ef7008d299d9d810f0c0f7905d">shape regulation in New York City</a> and causing Facebook to <a href="https://about.fb.com/news/2022/06/expanding-our-work-on-ads-fairness/">remove their biased ad targeting algorithm.</a></p>
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