The Ethics of AI in Development - Can we course correct now?
Dr. Timnit Gebru was fired from Google on December 2, 2020 over the publication of an AI ethics research paper that was critical of the environmental costs and embedded biases of large language models, which are key to Google's business. Dr. Gebru is a real-life example of scientists trying to warn us about the future "Skynet's" of the world. Is it too late to change course?
Maybe. Maybe not. Where do we start? We start with every individual developer in the world whose code touches AI. Bias is human and everyone has bias, which is ok. Some biases are good. The negative ones that we aren't aware of, however, can creep their way into anything we do, including development of AI-powered programs. Our fight against "Skynet" starts by having these conversations about doing what is fair and ethical and helping every developer become aware of their biases, giving them the tools to mitigate those biases that can cause harm through their execution.
Think about hiring. Sam is a Black developer looking for his first job out of college. He applies for a great role at a new AI startup. This startup is using an HR technology tool that uses video to prescreen candidates by analyzing facial features to recommend fit. What you don't know is that the team that built this AI technology is all white males. So their biases permeate the code. What happens? Sam never gets a chance for an in-person interview because the AI dismissed him from the candidate process based on negative feedback from analysis of his facial features during his recorded interview.
Sam's story is just one example of tens of thousands where AI can cause negative, inequitable, and unjust harm to people. As we continue having discussions about our own biases, we need to think about moving beyond the conversation to action. How do we make the mitigation of bias in AI a business practice, a best practice, throughout every organization?
Join us as our panel of experts discusses the ethics of AI and the solutions that can help us develop the policies and processes to create AI that can truly benefit all people.
We want to bring a diverse panel of experts together, facilitated by UB Ciminieri, interviewIA's Chief Marketing Officer, to have a conversation with the audience about this timely and critical topic. Guests will include our VP of Product Innovation, Gary Walker (https://www.linkedin.com/in/gary-walker-a2236914a/), who has 25+ years of software development experience, focused most recently on the use of groundbreaking methodologies, leading-edge neuroscience, and AI; Beth Rudden (https://www.linkedin.com/in/brudden/), IBM's Offering Leader for AI at Scale; Alires Almon (https://www.linkedin.com/in/aliresalmon/), Director of Innovation at the Mental Health Center of Denver; and Michael Hemenway (https://www.linkedin.com/in/michael-hemenway-06450515b/), CIO at the Iliff School of Technology.