Image credit: Concordia University

June 2024

Fixing AI With Interdisciplinary Approaches

Large language models (LLMs) have emerged as a disruptive force. While AI-generated responses can initially seem impressive, LLM and AI generated texts suffer from multiple risks, including hallucination and inaccuracy [2]. The rise of these AI tools impacts student learning, the practice of teaching and research, and a host of white-collar jobs. Among the challenges related to incorporating AI tools in human labor are three interconnected concerns: the extent to which AI tools can replace human workers, the data on which algorithms are trained, and whether these tools improve human working conditions. The issues are related to the technology itself as well as the choices made in deploying these technologies.

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• When Not to Use AI by Ketra Schmitt Posted in: Articles, Artificial Intelligence (AI), Case Studies, Editorial & Opinion, Ethics, Human Impacts, Magazine Articles, Social Implications of Technology, Societal Impact - While AI-generated responses can initially seem impressive, LLM and AI generated texts suffer from multiple risks, including hallucination and inaccuracy.  ...  Read More

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