• S7E6: Navigating the Ethical Challenges for Responsible AI with Cansu Canca

  • Mar 26 2025
  • Duración: 27 m
  • Podcast

S7E6: Navigating the Ethical Challenges for Responsible AI with Cansu Canca

  • Resumen

  • Artificial intelligence is revolutionizing industries, but it also brings ethical challenges like bias, privacy, and fairness. How can organizations develop AI systems that are both innovative and responsible?

    In this episode, Cansu Canca, Director of Responsible AI Practice at Northeastern University’s Institute for Experiential AI, shares practical strategies for integrating ethics into AI development. From data selection to deployment, she emphasizes collaboration between ethics teams and developers to tackle privacy and transparency issues while maintaining innovation.

    Cansu also highlights the trade-offs businesses face—balancing efficiency with fairness—and why responsible AI is essential for building trust and staying competitive. This episode provides actionable insights for leaders navigating the complexities of ethical AI.

    About the Guest:Cansu Canca is a research associate professor of philosophy and the Director of Responsible AI Practice at Northeastern University’s Institute for Experiential AI. Her work focuses on embedding ethical frameworks into AI systems to ensure they serve society responsibly.

    International Business Today is a podcast produced by the International Business & Strategy group at Northeastern University. Made for global business professionals—and any student who hopes to work for a multinational organization in the future, our hosts and their guests share what's proven through research and highlight what's really working in practice.

    Reach out to us: mailto:IBTpodcast@northeastern.edu

    Más Menos
adbl_web_global_use_to_activate_webcro805_stickypopup

Lo que los oyentes dicen sobre S7E6: Navigating the Ethical Challenges for Responsible AI with Cansu Canca

Calificaciones medias de los clientes

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.