
Recent studies highlight the significant impact of generative AI, particularly GPT-4, on social science research. Experts suggest that the influence of generative AI on economic growth and societal transformation could rival that of historical innovations such as the steam engine and electrification. Notably, GPT-4 has demonstrated a remarkable ability to simulate human responses in social science experiments, achieving a high correlation (r = .85) between simulated and observed results across 70 studies. This accuracy suggests that AI can predict social science outcomes more effectively than trained experts. Additionally, researchers from the University of Oxford have raised concerns about the legal responsibilities of large language models (LLMs), proposing that these AI systems may need a legal duty to convey truthful information to mitigate potential harm to democratic societies. This discussion comes amid ongoing debates about the ethical implications of AI technologies and their societal impacts.
A study from Stanford & NYU found GPT-4 has a remarkable ability to accurately predict the outcomes of social science experiments, often matching or even surpassing human predictions. Here’s a summary of the key findings from 'Predicting Results of Social Science Experiments… https://t.co/YFB5rGJt4I
Read more about OII professors @SandraWachter5, @b_mittelstadt and @c_russl's new research on the 'careless speech' of LLMs, and how a legal duty to 'tell the truth' could mitigate harm. https://t.co/HYS3ASAQcD
NEW: Experts at @oiioxford have identified a new type of harm created by Large Language Models (LLMs) which they believe poses long-term risks to democratic societies and needs to be addressed by creating a new legal duty for LLM providers. More info ⬇️ https://t.co/2DA4xeHiYX
