

AI (Artificial Intelligence) is one of the most powerful tools to solve real-life problems. But what if we told you that these technologies are actually increasing inequality? The reality is that consumers that are able to access these tools are actually the ones that need them the...
AI (Artificial Intelligence) is one of the most powerful tools to solve real-life problems. But what if we told you that these technologies are actually increasing inequality? The reality is that consumers that are able to access these tools are actually the ones that need them the least.
Join this conversation with Professional Mad Scientist, Dr. Vivienne Ming, as she shares her vision and knowledge on how AI needs to change to help solve biases and the importance of making it accessible to all.
In this chat, will talk about:
Dr. Vivienne Ming explores how to maximize human capacity as a theoretical neuroscientist, serial entrepreneur, demented author, and mother of two. Socos Labs, her fifth company and second co-founded with wife Dr. Norma Ming, is a mad science incubator. It explores seemingly intractable problems—from a lone child’s disability to global economic inclusion—for free. Vivienne’s previous companies have applied machine learning to bias in hiring and education at home and in school. She started her professional life as a visiting scholar at UC Berkeley's Redwood Center for Theoretical Neuroscience pursuing her research in cognitive neuroprosthetics. In her free time, Vivienne works to design AI systems to help treat her son’s diabetes, predict manic episodes in bipolar sufferers, and reunite orphan refugees with extended family members. She sits on the boards of numerous companies and nonprofits. For relaxation, she writes science fiction and spends time with her wife and children. Vivienne was named one of “10 Women to Watch in Tech” by Inc. Magazine and one of the BBC’s 100 Women in 2017. She is featured frequently for her research and inventions in The Financial Times, The Atlantic, Quartz Magazine and the New York Times.
actually i am very excite for this webinar session .
What is happening in the AI space to ensure ethical application of the tool?
How can AI be in support of Mental Health? Please give some examples and explore more on this topic.
How can we “opt out” or dial down AI algorithms that affect us? Eg Amazon or Netflix recommendations.
How do you think this equity conversation around AI relates to the learning and development opportunities for organizations/companies? What can orgs do to ensure their workforce is aware of the...
What are the current practical and effective AI solutions in neuroscience?
Do you see any chance of making ethics evaluations for AI projects right from the projects' start a professional or even legal requirement? Similarly to security and privacy evaluations, which now...
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