Haniyeh is the Global AI Ethicist at DataRobot, Inc, and a member of the National AI Advisory Committee, which advises the White House on AI-related issues. She provides technical and educational guidance in the area of responsible AI as a member of the Office of CTO. In addition to strategizing the implementation of components of ethics in the product, in her role, she provides thought leadership in responsible AI with a focus on AI Bias, Trusted and Ethical AI. Haniyeh is a member of the National AI Advisory committee (NAIAC) that is tasked with advising the President and the National AI Initiative Office on topics related to the National AI Initiative. She has won the VentureBeat's Women in AI Award for Responsibility and Ethics in AI and was named as an AI Ethics leader by Forbes. Haniyeh holds a PhD in Astronomy and Astrophysics from Bonn University.
OpenAI predicts human-like machine intelligence could arrive within 10 years, so they want to be ready for it in four. Learn more.
A panel of experts poked holes in the Pentagon's AI adoption efforts during a House Armed Services Committee hearing on Tuesday.
Experts agreed AI will be critical when it comes to maintaining American dominance.
“I would say we still need the foundation from the federal government,” Haniyeh Mahmoudian, global AI ethicist at DataRobot, told EE Times. “Things around privacy that pretty much every person in the United States is entitled to, that is something that the federal government should take care of.”
When I started my journey toward responsible AI, one of the things I noticed was that generally, you can’t really talk to non-technical people about the technical aspects of how the model behaves. They need to have a language that they understand. But just telling them “your model is biased” doesn’t solve anything either. And that’s what the natural language aspect of it helps with — not only telling them the system exhibits some level of bias, but helping navigate that. “Look at the data XYZ. Here is what we found.”