Robots in Disguise

The proliferation and public fascination for large language models (LLMs) using natural language understanding (NLU) have upended corporate investment, labor dynamics, and reinvigorated the term artificial intelligence (AI) as a paragon of progress. However, the rush to immerse AI into digital daily life has overshadowed critical considerations of leveraging human social tendencies to scale product engagement. Generative artificial intelligence (GenAI or GAI), finely tuned to engage in conversational communication, and designed to mimic human engagement, obfuscates the distinction between human and machine; misguiding rational users. This issue is more pronounced when GAI addresses sensitive questions that require accuracy, expertise, and empathy–raising GAI's ethical responsibility to moral literacy. In this paper, I will emphasize the need for generative AI to disclose their limitations in greater detail, disclose inequality perpetuated by paid-tier systems, direct users to credible organizations and professionals for support, and abide by a transparent code of conduct.