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Kate Kaye
Deputy Director at World Privacy Forum
Kate Kaye is the Deputy Director of the World Privacy Forum, a research nonprofit focused on human rights in technology and data use.
With a background in investigative journalism, Kate has contributed impactful stories to outlets like MIT Technology Review, NPR, and WSJ on the effects of technology on society.
She has been involved in advocacy work and has covered community-related issues on her personal tech ethics website, RedTailMedia.org.
Kate holds a B.S. in Textile Design and Applied Arts from Buffalo State University.
Her professional journey includes roles like former AI Safety Institute Consortium Member at NIST and former Platforms, Data, and Privacy Reporter at Digiday.
She has also been part of organizations like OECD.AI and NeurIPS, showcasing her expertise in AI ethics and data governance.
Kate's diverse experience includes positions such as Multimedia Independent Journalist at RedTail AI and Tech Ethics Reporting and Reporter at Advertising Age.
Throughout her career, she has explored themes like AI, tech ethics, and data privacy to raise awareness and promote informed policy-making.
Kate's contributions have not only informed the public but have also influenced legislative decisions, making her a prominent figure in the field of technology and human rights.
She continues to be actively involved in research areas such as AI, digital identity, and health data ecosystems to protect marginalized communities globally.
Highlights
Chile's guidance on government use of AI and data science suggests something we rarely see in AI governance documents: It reminds agencies that there may be more appropriate approaches than use of AI or data science models in a particular situation. In its "proportionality" reminder, the December 2023 directorate also states that AI projects can be costly, and can have adverse effects on citizens.
Our latest publication at World Privacy Forum spotlights the ever-evolving reality of AI governance and AI governance tools after regulations are created. Canadian government agencies including Employment and Social Development Canada, Transport Canada - Transports Canada, Veterans Affairs Canada / Anciens Combattants Canada, and Royal Canadian Mounted Police | Gendarmerie royale du Canada have used Canada’s Algorithmic Impact Assessment process to evaluate the automated systems they use. But what do AI governance tools like Canada’s AIA look like on the ground? I spoke with people designing & updating the AIA and its scoring algorithm (Benoit Deshaies and Dawn Hall from Treasury Board of Canada Secretariat | Secrétariat du Conseil du Trésor du Canada) and someone who works directly with people affected by it, Wei William (Will) Tao 陶维
