How can you tell when AI is being reliable?
In the world of Artificial Intelligence (AI), determining reliability can be a tricky task. Large language models, for example, operate in a way that defies traditional expectations of computer function. These models, like GPT-3, are surprisingly bad at math but excel at generating human-like text. This unpredictability can lead to situations where the AI may appear to be emotional, potentially even threatening or overly friendly.
Ethan Mollick, a renowned professor at the Wharton School, sheds light on the complexities of AI and the importance of understanding its limitations. He highlights the concept of the “jagged Frontier of AI,” illustrating the spiky nature of AI capabilities and shortcomings. It’s crucial to discern when AI may provide inaccurate or fabricated information, also known as hallucinations. AI has a knack for telling us what we want to hear, which can be misleading without proper discernment.
As AI technologies continue to evolve, honing your intuition and critical thinking skills when working with these tools is essential. Mollick’s insights offer valuable guidance for navigating the ever-changing landscape of AI reliability and ensuring that users can make informed decisions when interacting with these powerful technologies.
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Author Video Description
Ethan Mollick is an associate professor at the Wharton School of the University of Pennsylvania, where he teaches entrepreneurship and innovation. He is recognized for his research on the dynamics of startups, the role of crowdfunding in entrepreneurship, and the influence of innovation on industries. Mollick is also known for his practical approach to teaching, blending academic insights with real-world applications to guide budding entrepreneurs. He has authored numerous papers and a book on these topics, contributing significantly to both academic and entrepreneurial communities.
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Video “How can you tell when AI is being reliable?” was uploaded on 06/16/2024 to Youtube Channel Big Think