The long-term answer to fixing bias in AI systems

A new AI system or tool pops up every day. AI systems are more popular than ever -- and smarter. From large language models such as GPT-3 to text-to-image models like Dall-E and, most recently, text-to-video systems like Imagen Video -- a system Google introduced on Oct. 5 that takes a text description and generates video -- AI systems have also become more sophisticated. However, sophistication comes at a cost, according to Chirag Shah, associate professor in the Information School at the University of Washington. While the systems' creators have tried to make the systems smart, they haven't done the same in making them fair and equitable, Shah said.