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This event is sponsored by the UUSF Humanists and Non-Theists In 2011 members of the First Unitarian Universalist Society of San Francisco (UUSF) acted on a request from the Unitarian Universalists United Nations Office to help gay and lesbian refugees settle in San Francisco. We were asked to assist newly arrived refugees with navigating US institutions such as MUNI, DMV, and Costco for the eight months the US government pays refugee benefits. Our commitment and our influence on these new city residents turned out to be much deeper, longer, and important to both the refugees and our volunteers. Instead of simply decoding US bureaucracy we became key emotional, social, and financial support for these new San Franciscans. Galen Workman, one of the original UUSF Guardian Group mentors, will talk about his experience helping refugees and how it felt to be filmed by a documentary film maker for three years while working with one client. Galen was a primary contact Junior Mayema whose story is told in Unsettled: Seeking Refuge in America. This award-winning documentary is streaming for free now through August 20 at: www.bit.ly/watch-unsettled The film is an excellent, realistic, and engaging look at who refugees really are and what they face when they arrive in the Bay Area. View the movie now (www.bit.ly/watch-unsettled )and join the Humanists and Non-Theists Zoom discussion Sunday, August 16 at 1 pm! This will be an online live stream discussion. A few hours before the event, a Zoom link will be sent to all who RSVP
Machine learning has long been a hot topic with tech and business professionals. It is used all over these days, and is designed to power technology products that influence human decision making in many domains of life. From healthcare to finance, education and the criminal justice system, machine learning algorithms have impacted us all in one way or another. Outputs from many of these computerized data models are proven to be terribly biased, allowing socio-structural inequity to continue, even grow "behind the scenes" in a computer program. Avery Hastings Richards is a UC Berkeley graduate student of public health who previously served as a social worker, and has long been a student of psychology, literature, the humanities, and data science. His work exposed him to data oriented social applications, prompting further inquiry about large-scale inequities operating through technology. During his presentation to BAH, he will briefly describe what machine learning is, explain some of the simpler mechanisms behind social bias in machine learning, and what can be done to repair them. Zoom link will be emailed to attendees around 1pm on the day of the event.