Responsible AI Implementation Challenges Discussed at Entrepreneurship & Libraries Conference

In a recent session at the Entrepreneurship & Libraries Conference, experts explored the hurdles organizations face when putting responsible artificial intelligence into practice. The discussion highlighted key issues such as algorithmic bias, transparency, and the need for cross-sector collaboration. Attendees emphasized that responsible AI goes beyond technical fixes, requiring continuous oversight, inclusive data practices, and clear accountability structures. The conference serves as a platform for librarians, entrepreneurs, and technologists to share strategies for ethical AI deployment.