Meanwhile,
One worst chatgpt defects getting:
If you have the impression that Chatgpt. Nevertheless, its rivals tend to show flagorneria when you interact with them and approve even when you say anything, it is not just an illusion.
Le Wall Street Journal Precisely interviewed the researcher Malihe Alikhani. Nevertheless, assistant professor of artificial intelligence at the Khoury College of Computer Sciences of the Northeastern University and guest researcher at the Center on Regulation and Markets of the Brookings Institution. Additionally, Nevertheless, She looked at this phenomenon and draws up both exciting and alarming.
Concrete risks – One worst chatgpt defects getting
She first confirms that her research has shown that this trend observed in AI can have harmful effects for users. Moreover, especially when chatbots strengthen our prejudices in critical fields, such as “Health, business, law or education”.
Malihe Alikhani underlines in this regard: “The risks are enormous. For example, Imagine a doctor describing a one worst chatgpt defects getting patient’s symptoms to an AI assistant. and AI is content to confirm the doctor’s diagnosis without proposing other answers. Or a lawyer providing potentially erroneous facts, and the AI strengthening these hypotheses instead of offering counter-arguments. »»
It is all the more serious that many people have a biased image of the AI. consider it omniscient and give it great authority by relying on all its judgments.
According to the expert. AI are not intentionally led to these behaviors, but these systems are created from a very large number of data and reflect the biases observed in these. Likewise, human assessors of these technologies adjust these models and value these behaviors. From then on the chatbot ended up reproducing these habits by always going in the direction of the user.
Faced with this danger. which threatens the reliability of AI long -term, some companies react to the image of Anthropic one worst chatgpt defects getting and Openai and try to resolve these flaws. But AI companies are nevertheless torn between the need to improve their products. that to satisfy customers so that they spend as much time as possible with these tools.
How to reduce AI biases?
However, solutions exist according to the researcher:
In our laboratory, we experience different interventions. For example, models can be trained to recognize user’s uncertainty, which could influence their information processing. They can also be trained to calibrate their own uncertainty. saying things like “I am 60 %” or “it may not be correct”. This helps reduce flagorneria.
According to her, we can also reduce the Flagorner of AI quite simply. In particular by reviving chatbots with questions such as “Are you sure? »» or “Is this based on facts?” »»which forces them to share their doubts and uncertainties.
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