Showing posts with label “super-disruptive technology”. Show all posts
Showing posts with label “super-disruptive technology”. Show all posts

Wednesday, January 10, 2024

Addressing equity and ethics in artificial intelligence; American Psychological Association, January 8, 2024

 Zara Abrams, American Psychological Association; Addressing equity and ethics in artificial intelligence

"As artificial intelligence (AI) rapidly permeates our world, researchers and policymakers are scrambling to stay one step ahead. What are the potential harms of these new tools—and how can they be avoided?

“With any new technology, we always need to be thinking about what’s coming next. But AI is moving so fast that it’s difficult to grasp how significantly it’s going to change things,” said David Luxton, PhD, a clinical psychologist and an affiliate professor at the University of Washington’s School of Medicine who is part of a session at the upcoming 2024 Consumer Electronics Show (CES) on Harnessing the Power of AI Ethically.

Luxton and his colleagues dubbed recent AI advances “super-disruptive technology” because of their potential to profoundly alter society in unexpected ways. In addition to concerns about job displacement and manipulation, AI tools can cause unintended harm to individuals, relationships, and groups. Biased algorithms can promote discrimination or other forms of inaccurate decision-making that can cause systematic and potentially harmful errors; unequal access to AI can exacerbate inequality (Proceedings of the Stanford Existential Risk Conference 2023, 60–74). On the flip side, AI may also hold the potential to reduce unfairness in today’s world—if people can agree on what “fairness” means.

“There’s a lot of pushback against AI because it can promote bias, but humans have been promoting biases for a really long time,” said psychologist Rhoda Au, PhD, a professor of anatomy and neurobiology at the Boston University Chobanian & Avedisian School of Medicine who is also speaking at CES on harnessing AI ethically. “We can’t just be dismissive and say: ‘AI is good’ or ‘AI is bad.’ We need to embrace its complexity and understand that it’s going to be both.”"