Decoding the Ethics of ChatGPT, to Better Code It!

A few months after the launch of ChatGPT, Jérôme Béranger published in Solutions numériques an analysis of the ethical challenges posed by large language models (LLMs).

"Decoding the ethics of ChatGPT means understanding its biases, its limitations and its implications in order to make responsible use of it."

The article addresses several fundamental dimensions:

• Training biases — the data on which these models are trained reflects and amplifies real-world biases
• Opaque transparency — LLMs are black boxes whose every decision cannot be explained
• Disinformation — the generation of convincing but false content constitutes a systemic risk
• Environmental impact — training these models consumes massive amounts of energy

For GoodAlgo, understanding these mechanisms is the indispensable prerequisite for any responsible professional use of generative AI. Coding ChatGPT ethically first means decoding it.