CYCLLGApr 21, 2023

The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination

arXiv:2304.14347v267 citationsh-index: 11
Originality Synthesis-oriented
AI Analysis

This work highlights critical societal challenges for policymakers and users, but it is incremental as it builds on existing regulatory discussions without introducing new methods or data.

The paper addresses legal and ethical risks from ChatGPT and LLMs, such as stochastic parrots and hallucination, and argues that the EU's AI regulatory framework underestimates these risks and needs further evolution to mitigate them.

With the launch of ChatGPT, Large Language Models (LLMs) are shaking up our whole society, rapidly altering the way we think, create and live. For instance, the GPT integration in Bing has altered our approach to online searching. While nascent LLMs have many advantages, new legal and ethical risks are also emerging, stemming in particular from stochastic parrots and hallucination. The EU is the first and foremost jurisdiction that has focused on the regulation of AI models. However, the risks posed by the new LLMs are likely to be underestimated by the emerging EU regulatory paradigm. Therefore, this correspondence warns that the European AI regulatory paradigm must evolve further to mitigate such risks.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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