Mitigating the Risks of AI Chatbots with Vyoma Gajjar, IBM | EP 06

In this episode of the Responsible AI Report, Patrick speaks with Vyoma Gajjjar about the critical issues surrounding responsible AI, particularly in the context of generative AI and chatbots. They discuss the balance between creating engaging AI interactions and maintaining transparency, the importance of implementing safety measures from the ground up, and the necessity of developing emotional intelligence frameworks to better understand and respond to user emotions. The conversation emphasizes the need for robust safety protocols and regulations to ensure that AI technologies are developed ethically and responsibly.

Takeaways

• Responsible AI is crucial in today's technology landscape.
• Transparency in AI interactions is essential for user trust.
• AI companies must implement safety measures at the foundation.
• Emotional intelligence frameworks can enhance AI responsiveness.
• Robust safety measures are necessary to protect vulnerable users.
• AI should be validated by AI to ensure effectiveness.
• There is a need for regulations around AI technologies.
• Explainable AI will be vital for future developments.
• Monitoring and parental controls are important for AI interactions with minors.

Learn more at:
https://www.linkedin.com/in/vyomagajjar/

Vyoma Gajjar is an AI Technical Solution Architect at IBM, specializing in generative AI, AI governance, and machine learning. With over a decade of experience, she has developed innovative solutions that emphasize ethical AI practices and responsible innovation across various global industries. Vyoma is a passionate advocate for AI governance and has contributed her expertise as a speaker and mentor in numerous academic and professional settings. She is dedicated to fostering a deeper understanding of AI's impact on society, promoting transparency, and enhancing trust in AI technologies. Vyoma holds a patent in AI and is actively involved in initiatives that drive positive change in the tech industry.

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