Am hoping these same feelings are evoked from reading my book, Code Dependent, which this is extracted from. Stories of human courage and hope in the face of widespread automation. @picadorbooks
ETHICS
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Female Leadership and AI: Business and Societal Imperative
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[#Article] Female leadership in the AI era: a business, strategic and societal imperative according to IBM EMEA https://actuia.com/actualite/le-leadership-feminin-a-lere-de-lia-un-imperatif-commercial-strategique-et-societal-selon-ibm-emea/
… #AI #artificialintelligence -
AI Content Flood Challenges Academic Peer Review System
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Peer review isn’t built to handle the flood of AI content, especially as not all of it will be obvious, and not all will be malicious (lots of scholars pay editors to help make their writing better, now they will use chat). The system, already straining, won’t be able to adjust.
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Humanities Courses Essential for AI Skill Development
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Also take some humanities courses, both for their own sake and if you want to get good at AI.
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AI problems evolving from basic issues to nuanced challenges
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First, things became problematic, now the problems are getting nuanced
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Technology and Advocacy: Reshaping Innovation Through Social Impact
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Looking forward to this! Technology as a tool for advocacy, and advocacy as a tool to (re)shape technology https://
x.com/OsloFF/status/
/OsloFF/status/1768363132903190702
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AI Experts Disagree on AGI Feasibility Timeline
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There is real disagreement over this issue among AI insiders, including among much less prominent people. It makes it hard for outsiders to take the position that AGI is definitely possible or definitely impossible, especially in the medium term, based on the evidence available.
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Rethinking AI Education Beyond Efficiency Goals
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Many AI education tools aim for efficiency, but should this be the primary goal? Panelists at the recent AI+Education Summit urge us to rethink how we develop and deploy AI in education. https://
stanford.io/4chFDry -
LLMs Misinformation: Why Users Mistake Them for Search Engines
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To most users, it isn't clear that LLMs don't work like search engines. This can lead to real issues when using them for vital, changing information. Frontier models make less mistakes, but they still make them. Companies need to do more to address users being misled by LLMs.
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AI Tools: Potential for Good and Bad Uses
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There's a lot of potential here, and like any AI tool, it's all about who is using it. Lots of good can be built with something like this. It also makes it easier to hack sites, create malware, and make other problems with the internet expand exponentially. The good guys and