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How governments are making AI more responsible, fair and explainable

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This is an online event. A link to join the meeting will be provided upon registration, or you can email [email protected] for the login details.



Last month, we heard about the use of Artificial Intelligence (AI) technologies in our educational system, but these technologies are also being incorporated into many other commercial and social enterprises that impact our daily lives, including the fields of medicine, journalism, finance, human resources, law enforcement, and transportation, just to name a few.

While AI technologies may be beneficial to society, how do we know that the systems being developed are trustworthy and that they actually do what their creators claim? Can developers explain how their AI systems work and demonstrate that the outputs they generate are not biased? How might governments regulate these systems? Should companies be allowed to regulate themselves? How might governments and companies work together to ensure fairness and understandability of what the systems are doing?

Last year, World Privacy Forum, a privacy-focused research nonprofit, studied various AI governance tools currently in use around the world. They recently published their findings via a report that was co-authored by Pam Dixon, executive director of World Privacy Forum, and Kate Kaye, deputy director of the organization: https://www.worldprivacyforum.org/2023/12/new-report-risky-analysis-assessing-and-improving-ai-governance-tools/

At this month's meeting, World Privacy Forum’s Kate Kaye will join us to share the details of their research methodologies and what they learned about how governments are overseeing the implementation of AI in their countries. She'll give an overview of what AI is and what it does, and she'll also present some examples of both effective and ineffective approaches to good governance of these systems.

Bring your questions and thoughts about AI governance, and come join the discussion!

Please RSVP via this Meetup page or by sending an email to [email protected].

Speaker bio:

Kate Kaye is a Portland resident and deputy director of World Privacy Forum, a nonpartisan public-interest research nonprofit. Her research focuses on the implications of AI, digital identity and health data ecosystems, data governance, and other issues related to data collection, use and privacy.

Before joining World Privacy Forum, Kate worked for more than 20 years as an award-winning journalist covering data, emerging technology and the impact of tech on people and society. Her reporting has been seen and heard in MIT Technology Review, NPR, Protocol, Bloomberg CityLab, OneZero, WSJ, Fast Company, and other media outlets.

Kate is the founder of tech and AI ethics reporting website RedTailMedia.org. RedTail has been home to some of her work investigating algorithmic and surveillance tech policy and use in Portland including Banned in PDX, a podcast series about Portland’s facial recognition ban, and an investigation of the city’s collapsed partnership with Google-sibling Replica, a location and mobility tracking company. Kate is the author of the 2009 book on digital voter data use, Campaign ’08: A turning point for digital media.

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