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Virtual fireside chat

AI Explained: Challenges and Best Practices for Conversational AI

Thursday, January 26, 2023
10 AM PT / 1 PM ET
Registration is now closed. Please check back later for the recording.

Conversational AI is a powerful tool for providing high-touch, natural dialogue without human intervention. But concerns around privacy, fairness, and bias remain top-of-mind for ML teams creating conversational AI.

Watch this AI Explained to learn:

  • How to develop conversational AI
  • Challenges in creating conversational AI
  • Differences between conversational AI and chatbots

AI Explained is our new AMA series featuring experts on the most pressing issues facing AI and ML teams.

Can’t attend live? You should still register! Recordings will be available to all registrants after the event.

Can’t attend live? Recordings will be available to all registrants after the event.

Speakers
Dilek Hakkani-Tür
Senior Principal Scientist
at
Amazon Alexa AI
Dilek Hakkani-Tür is a senior principal scientist at Amazon Alexa AI focusing on enabling natural dialogues with machines. Prior to joining Amazon, she was leading the dialogue research group at Google (2016-2018), a principal researcher at Microsoft Research (2010-2016), International Computer Science Institute (ICSI, 2006-2010) and AT&T Labs-Research (2001-2005). She received her BSc degree from Middle East Technical Univ, in 1994, and MSc and PhD degrees from Bilkent Univ., Department of Computer Engineering, in 1996 and 2000, respectively.
Krishnaram Kenthapadi
Chief AI Officer & Scientist
at
Fiddler AI
Prior to Fiddler, he was a Principal Scientist at Amazon AWS AI and LinkedIn AI, where he led the fairness, explainability, privacy, and model understanding initiatives. Krishnaram received his Ph.D. in Computer Science from Stanford University in 2006. He serves regularly on the program committees of KDD, WWW, WSDM, and related conferences. His work has been recognized through awards at NAACL, WWW, SODA, CIKM, ICML AutoML workshop, and Microsoft’s AI/ML conference (MLADS). He has published 50+ papers, with 4500+ citations and filed 150+ patents (70 granted).

Conversational AI is a powerful tool for providing high-touch, natural dialogue without human intervention. But concerns around privacy, fairness, and bias remain top-of-mind for ML teams creating conversational AI.

Watch this AI Explained to learn:

  • How to develop conversational AI
  • Challenges in creating conversational AI
  • Differences between conversational AI and chatbots

AI Explained is our new AMA series featuring experts on the most pressing issues facing AI and ML teams.

Can’t attend live? You should still register! Recordings will be available to all registrants after the event.

Speakers
Dilek Hakkani-Tür
Senior Principal Scientist
at
Amazon Alexa AI
Dilek Hakkani-Tür is a senior principal scientist at Amazon Alexa AI focusing on enabling natural dialogues with machines. Prior to joining Amazon, she was leading the dialogue research group at Google (2016-2018), a principal researcher at Microsoft Research (2010-2016), International Computer Science Institute (ICSI, 2006-2010) and AT&T Labs-Research (2001-2005). She received her BSc degree from Middle East Technical Univ, in 1994, and MSc and PhD degrees from Bilkent Univ., Department of Computer Engineering, in 1996 and 2000, respectively.
Krishnaram Kenthapadi
Chief AI Officer & Scientist
at
Fiddler AI
Prior to Fiddler, he was a Principal Scientist at Amazon AWS AI and LinkedIn AI, where he led the fairness, explainability, privacy, and model understanding initiatives. Krishnaram received his Ph.D. in Computer Science from Stanford University in 2006. He serves regularly on the program committees of KDD, WWW, WSDM, and related conferences. His work has been recognized through awards at NAACL, WWW, SODA, CIKM, ICML AutoML workshop, and Microsoft’s AI/ML conference (MLADS). He has published 50+ papers, with 4500+ citations and filed 150+ patents (70 granted).
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