Track: VoiceTech |
| Trusting Unreliable Genius |
| Broad availability of Large Language Models is revolutionizing how conversational AI systems can interact with humans, yet the factors that influence user trust in conversational systems, especially systems prone to errors or ‘hallucinations’, remain complex and understudied. In this talk titled "Trusting Unreliable Genius", we delve into the nuances of trust in AI, focusing on trustability factors like competency, benevolence, and reliability. We begin by examining human conversation dynamics, including the role of interactive alignment and Gricean Maxims. These principles are then juxtaposed with Conversational AI interactions with several state-of-the-art LLM chabots, offering insights into how trust is cultivated or eroded in this context. We also shed light on the necessity for transparency in AI development and deployment, the need for continuous improvement in reliability and predictability, and the significance of aligning AI with user values and ethical considerations. Building trust in AI is a multifaceted process involving a blend of technology, sociology, and ethics. We invite you to join us as we unravel the complexities of trust in Conversational AI and explore strategies to enhance it. |
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| Presentation Video |
