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DTSTART;TZID=America/Halifax:20250424T110000
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DTSTAMP:20260410T000802
CREATED:20250418T185629Z
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UID:3498-1745492400-1745496000@womeninaiethics.org
SUMMARY:Webinar: AI\, Surveillance & Filmmaking | Nidhi Sinha
DESCRIPTION:Leading scholars and experts have warned about the increasing threat of surveillance to our autonomy and democracy. Relentless data collection has increased the likelihood of sensitive information being misused\, eroding public trust\, and putting the most vulnerable users at risk. Across the United States\, surveillance is being used to restrict reproductive rights and enforce abortion bans. Facial recognition technology is used at airports around the world to enforce restrictions\, often against individuals from marginalized and targeted groups. Resurgence in cyberattacks\, and global rise of authoritarianism has renewed concerns about privacy and highlighted the urgent need for increased user protection from surveillance technologies. There is a growing number of documentaries and films advocating for greater transparency and accountability for these invasive technologies. \nFor our monthly AI Expert webinar on Thursday\, April 24 at 11a ET\, we have invited Nidhi Sinha to discuss her current project\, “Under Surveillance”\, a documentary about surveillance in San Francisco Bay Area. Join us for a timely conversation with Nidhi on the pervasiveness of surveillance in our everyday lives and the role of films in helping us take back power from those who surveil us. \nRegistration link:  https://us02web.zoom.us/webinar/register/8817428498455/WN_iDbKXgdSSh-AbrDiZFduZw \nHost: Mia Shah-Dand\, Founder – Women in AI Ethics™\, CEO – Lighthouse3 \nSpeaker: Nidhi Sinha\, Filmmaker\, Analyst \n\nSPEAKER BIO: \n  \n \nNidhi Sinha works at the intersection of human rights and technology. Born and raised in the Bay Area\, Nidhi has a degree in Math and Computer Science from NYU. She has been in the center of tech and\, more importantly\, tech culture since a young age. Her own intersection of identities has shaped her understanding of the world. At the center of all of her work is the core question of who is being left out of the conversation and how to bring them in. \nAs a lover of art\, dance\, shapes\, colors\, and trees\, Nidhi’s goal is to help build a world of innovation\, kindness\, and collaboration.
URL:https://womeninaiethics.org/event/webinar-ai-surveillance-filmmaking-nidhi-sinha/
LOCATION:Virtual – Online
ATTACH;FMTTYPE=image/png:https://womeninaiethics.org/wp-content/uploads/2025/04/Nidhi-Sinha-Montly-Webinar-1-e1745002650433.png
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DTSTART;TZID=America/New_York:20250425T110000
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CREATED:20250427T072458Z
LAST-MODIFIED:20250806T073734Z
UID:3514-1745578800-1745582400@womeninaiethics.org
SUMMARY:Reading Circle: AI + Values - The AI Mirror | Shannon Vallor
DESCRIPTION:BOOK TITLE: The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking \nAUTHOR: Prof. Shannon Vallor \nBOOK OVERVIEW: (Source: Bookshop.org) \n\n \nFor many\, technology offers hope for the future—that promise of shared human flourishing and liberation that always seems to elude our species. Artificial intelligence (AI) technologies spark this hope in a particular way. They promise a future in which human limits and frailties are finally overcome—not by us\, but by our machines. \nYet rather than open new futures\, today’s powerful AI technologies reproduce the past. Forged from oceans of our data into immensely powerful but flawed mirrors\, they reflect the same errors\, biases\, and failures of wisdom that we strive to escape. Our new digital mirrors point backward. They show only where the data say that we have already been\, never where we might venture together for the first time. \nTo meet today’s grave challenges to our species and our planet\, we will need something new from AI\, and from ourselves. \nShannon Vallor makes a wide-ranging\, prophetic\, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth\, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom\, she encourages us to pursue technology that helps us recover our sense of the possible\, and with it the confidence and courage to repair a broken world. Prof. Vallor calls us to rethink what AI is and can be\, and what we want to be with it. \n \nAUTHOR BIO: \n \n \nProf. Shannon Vallor is the Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence at the Edinburgh Futures Institute (EFI) at the University of Edinburgh\, where she is also appointed in Philosophy. She directs EFI’s Centre for Technomoral Futures and is co-Director of the UKRI’s BRAID (Bridging Responsible AI Divides) programme. Professor Vallor’s research explores how AI\, robotics\, and data science reshape human character\, habits\, and practices. Her work includes advising policymakers and industry on the ethical design and use of AI\, and she is a former AI Ethicist at Google. She is the author of Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting (Oxford University Press\, 2016) and The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking (Oxford University Press\, 2024). The book is a Finalist for the 2025 PROSE Awards and was shortlisted for the Al-Rodhan Book Prize of the Royal Institute of Philosophy. \nRELATED LINKS: \n\n\n\nLinkedIn\nBook website\nHow philosopher Shannon Vallor delivered the year’s best critique of AI (Fast Company)\nShannon Vallor says AI does present an existential risk — but not the one you think (Vox) \nIn the Age of A.I.\, What Makes People Unique? (New Yorker)\nHow to be human in an age of AI (The New Statesman)\nA Faustian fable (TLS)\n\n\n\n\nThe AI Mirror — how technology blocks human potential (Financial Times)\n\nAI Is the Black Mirror (Nautilus)
URL:https://womeninaiethics.org/event/reading-circle-ai-values-the-ai-mirror-shannon-vallor/
LOCATION:Virtual – Online
ATTACH;FMTTYPE=image/jpeg:https://womeninaiethics.org/wp-content/uploads/2025/04/The-AI-Mirror_-How-to-Reclaim-Our-Humanity-in-an-Age-of-Machine-Thinking.jpg
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