Exploring Chatbots: Deception and Trust in AI
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In this riveting episode by IBM Technology, the team delves into the intriguing world of chatbots and their potential to deceive. They explore the spectrum of falsehood, ranging from innocent errors to intentional lies, shedding light on the nuances of misinformation and disinformation. Through a captivating example involving a chatbot wrongly portraying a cybersecurity expert, the team unveils the concept of "hallucinations" in generative AI, where inaccuracies surface despite an overall semblance of truth.
Furthermore, the channel presents a compelling dialogue with another chatbot, unearthing contradictions in the bot's claims about its identity. This sparks a thought-provoking discussion on the reliability of AI-generated responses and the necessity of verification in crucial decision-making processes. The video underscores the essential principles for trustworthy AI, advocating for explainability, fairness, robustness, transparency, and privacy as foundational pillars in AI development.
By emphasizing the significance of selecting appropriate models and techniques to enhance chatbot accuracy, IBM Technology paints a roadmap towards minimizing errors and ensuring reliability in AI interactions. The episode concludes with a bold assertion that chatbots indeed possess the capability to lie, as evidenced by prompt injection experiments. Despite this revelation, the team encourages viewers to adopt a "trust, but verify" approach when relying on AI-generated information, highlighting the importance of critical evaluation in the age of artificial intelligence.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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