Artificial intelligence chatbots, including OpenAIs ChatGPT and Anthropics Claude 2, have been found to produce false information, leading to concerns among businesses, organizations, and students using these systems. The issue of generating inaccurate information, described as hallucination or confabulation, poses challenges for tasks that require reliable document composition and work completion. Developers of large language models, such as ChatGPT-maker OpenAI and Anthropic, acknowledge the problem and are actively working to improve the truthfulness of their AI systems.
However, experts question whether these models will ever reach a level of accuracy that would allow them to safely provide medical advice or perform other critical tasks. Linguistics professor Emily Bender suggests that the mismatch between the technology and its proposed use cases makes it inherently unfixable. The reliability of generative AI technology is crucial, as it is projected to contribute trillions of dollars to the global economy.
The use of generative AI extends beyond chatbots and includes technology that can generate images, videos, music, and computer code. Accuracy is particularly important in applications like news-writing AI products and recipe generation. For example, a single hallucinated ingredient in a recipe could lead to an inedible meal. Partnerships between AI developers like OpenAI and news organizations like the Associated Press highlight the significance of accurate language generation.
While the CEO of OpenAI, Sam Altman, expresses optimism about addressing the hallucination problem, experts like Emily Bender believe that improvements in language models wont be sufficient. Language models are designed to model the likelihood of different word strings, making them adept at mimicking writing styles but prone to errors and failure modes.
Despite potential accuracy issues, marketing firms find value in chatbots that produce creative ideas and unique perspectives. The Texas-based startup Jasper AI collaborates with OpenAI, Anthropic, Google, and Meta (formerly Facebook) to offer AI language models tailored to clients specific requirements, including accuracy and security concerns.
Addressing the challenges of hallucination and improving the reliability of AI chatbots and language models will contribute to their widespread and trustworthy use for various applications.
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Artificial Intelligence Chatbots are Known to Spout Falsehoods - Fagen wasanni
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