Three major large language models (LLMs) generated responses that, in humans, would be seen as signs of anxiety, trauma, shame and post-traumatic stress disorder. Researchers behind the study, published as a preprint last month, argue that the chatbots hold some kind of "internalised narratives" about themselves. Although the LLMs that were tested did not literally experience trauma, they say, their responses to therapy questions were consistent over time and similar in different operatingmodes, suggesting that they are doing more than "role playing".
Business leaders have been incorporating Artificial Intelligence into their hiring strategies, promising streamlined and fair processes. But is this really the case? Is it possible that the current use of AI in candidate sourcing, screening, and interviewing is not eliminating but actually perpetuating biases? And if that's what's really happening, how can we turn this situation around and reduce bias in AI-powered hiring?