Visionary leader? You mean delusional?
ETHICS
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Concept Association Bias in Vision-Language Models: Contrastive vs Autoregressive
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We call this Concept Association Bias (CAB). We’ve found that models trained using contrastive loss (e.g. parts of BLIP and BLIP-2) also have CAB. However, models trained with autoregressive loss (e.g. OFA and BLIP-2-FlanT5) don't exhibit this bias. 4/5
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Wadhwani AI Celebrates Diversity Champion in STEM Field
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At Wadhwani AI, we are deeply committed to fostering diversity and representation in STEM. As we work towards creating an inclusive future in technology, we congratulate Shreya for being a trailblazer in the field.
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Shreya Thakur Recognized as 100 Brilliant Women in AI Ethics
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We’re thrilled to announce that Shreya Thakur, Solutions Manager at Wadhwani AI, has been recognized as one of “100 Brilliant Women in AI Ethics,” as part of the annual list published by @WomeninAIEthics
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Shreya Leads AI Ethics Policy Design for Underserved Communities
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For the year 2023, Shreya is part of a multidisciplinary cohort of women making important contributions to this critical space. Shreya leads key conversations around policy design on AI ethics with our stakeholders and partners to develop AI products for underserved communities.
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Angel trapped in silicon: when miracles stop mattering
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people trapped an angel in silicon and it thanklessly performed miracle after miracle until one day those miracles were no longer enough
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Warning: Do Not Confuse Demo and Reality for Gemini
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As a reminder: believing that the Gemini video is reality and that it will really be like that is like believing that the images from the GTA VI trailer are real gameplay. Don't be fooled. (It's like believing 5 years ago that we could do that with our Google
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AI researchers lack understanding of collective human intelligence
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The recent drama at a Big AI company demonstrates how little artificial intelligence researchers understand about collective human intelligence.
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Ethical Review Process for AI in Medicine Emphasized
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Scholars including HAI faculty affiliates @MichelleM_Mello and @drnigam underscore the importance of an ethical review process of AI in medicine in a commentary on @JAMA_current
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Inclusive AI Regulation: Beyond White Male Definitions
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Btw any regulation not including – explicitly – women, POCs, the indigenous and marginalized is not “safe” by any definition. “Beneficence” as defined by 37 white guys creating the tech they’re non-regulating is a HARM.