{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69496e27f756711739d06e78/69c28b7efce4b829c57adfca?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"8: AI and the metaphors we use to understand it","description":"<p><strong>Our motivation: </strong></p><p>Mitchell provides an important think piece about how the metaphors we use to describe new technologies, in this case artificial intelligence (AI), shape the way we think about them. Sometimes the metaphors we use may even have unintended effects that may blur our understanding of both the technology and its societal impact.</p><p><br></p><p><strong>Abstract:</strong></p><p>The disagreements in the AI world on how to think about LLMs are starkly revealed in this diverse array of metaphors. Given our limited understanding of the impressive feats and unpredictable errors of these systems, it has been&nbsp;argued that “metaphors are all we have for the moment to circle that black box.”</p><p><br></p><p><strong>Reference: </strong></p><p>Mitchell, M. (2024). The metaphors of artificial intelligence.&nbsp;<em>Science</em>,&nbsp;<em>386</em>(6723), eadt6140. </p><p><a href=\"https://www.science.org/doi/10.1126/science.adt6140 \" rel=\"noopener noreferrer\" target=\"_blank\">Click here to read</a>.</p><p><br></p>","author_name":"Joakim Wernberg"}