The impact of AI errors in a human-in-the-loop process.
Ujué Agudo, Karlos G Liberal, Miren Arrese, Helena Matute
January 2024 Cogn Res Princ ImplicSynopsis of Social media discussions
The group discusses the article's key point that incorrect AI support can decrease human judgment accuracy, using phrases like 'contribute to understanding' and 'help clarify implications,' which highlights their curiosity and motivation to explore AI-human interaction effects. The tone is generally proactive and open, emphasizing connection and shared research goals.
Agreement
Moderate agreementMost discussions acknowledge the relevance of the article, with some explicitly stating their aim to contribute to understanding AI errors' impact.
Interest
High level of interestThe social discussions show high interest, as many posts share links, summaries, and intentions to promote further exploration.
Engagement
Moderate level of engagementPosts include references to the article and related influences, like sharing links and discussing implications, indicating moderate engagement.
Impact
Moderate level of impactWhile passionate about the topic, the posts mainly focus on initial interest and dissemination rather than deep analysis of societal impact.
Social Mentions
YouTube
4 Videos
16 Posts
News
49 Articles
Metrics
Video Views
390
Total Likes
43
Extended Reach
77,410
Social Features
69
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
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Nos habla de su artículo #CognitiveResearchPrinciplesImplications The impact of AI errors in a human-in-the-loop process https://t.co/ItakS005kK “human judgment is affected when participants receive incorrect algorithmic support”
view full postNovember 9, 2024
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ujue agudo
@ujue (Twitter)El artículo completo: https://t.co/XWPWU6zGt0
view full postJuly 23, 2024
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Miguel Angel Ruiz
@Mars_777 (Twitter)RT @ujue: Por cierto, el enlace al paper: https://t.co/uz7lFA1eTq
view full postApril 8, 2024
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karlos g liberal
@patxangas (Twitter)RT @ujue: Por cierto, el enlace al paper: https://t.co/uz7lFA1eTq
view full postApril 4, 2024
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Cristina Palomino
@crispada2010 (Twitter)RT @ujue: Por cierto, el enlace al paper: https://t.co/uz7lFA1eTq
view full postApril 4, 2024
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María del Mar Grandío
@margrandio (Twitter)https://t.co/mEEumupOph
view full postApril 4, 2024
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ujue agudo
@ujue (Twitter)Por cierto, el enlace al paper: https://t.co/uz7lFA1eTq
view full postApril 4, 2024
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Chile717
@Chile7171 (Twitter)RT @ujue: Nuestro paper busca precisamente contribuir a ello
view full postMarch 3, 2024
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Diego Rodríguez
@arketipo (Twitter)The impact of AI errors in a human-in-the-loop process | Cognitive Research: Principles and Implications | Full Text https://t.co/oUEOQI7Fqi
view full postJanuary 27, 2024
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Gac Ciencia Forense
@GacetaCienForen (Twitter)The impact of AI errors in a human-in-the-loop process https://t.co/PwU8Etbwul
view full postJanuary 17, 2024
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ujue agudo
@ujue (Twitter)@chicanoize Te paso el link del artículo que todos estos detalles se aclaran mejor ahí. Espero que te guste! https://t.co/uz7lFA1MIY
view full postJanuary 9, 2024
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karlos g liberal
@patxangas (Twitter)¿Cómo las IAs pueden afectar a las personas en la supervisión de sistemas a la ayuda a la decisión? Este es un ejemplo de las preguntas que nos deberíamos hacer y que desde #bikolabs con este hilo y este Paper intentamos aportar nuestra visión al tema https://t.co/V7DC4RMd16
view full postJanuary 8, 2024
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vicen
@vicen_cm (Twitter)RT @ujue: Nuestro paper busca precisamente contribuir a ello
view full postJanuary 8, 2024
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Biko
@biko2 (Twitter)RT @ujue: Nuestro paper busca precisamente contribuir a ello
view full postJanuary 8, 2024
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ujue agudo
@ujue (Twitter)@patxangas @BodyOfCrime @BodyOfCrime ¡Nos lo acaban de publicar!: https://t.co/uz7lFA1eTq Además, hemos escrito un hilo sobre él, como resumen: https://t.co/k2lEAjISGh
view full postJanuary 8, 2024
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ujue agudo
@ujue (Twitter)Nuestro paper busca precisamente contribuir a ello
view full postJanuary 8, 2024
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Abstract Synopsis
- The study investigates how errors in AI systems can impact human decision-making, particularly in contexts like judging defendants in criminal cases.
- It finds that when humans receive incorrect algorithmic support before making their own judgments, their accuracy decreases, highlighting potential risks of relying on faulty AI in decision processes.
- The research emphasizes the need for a clearer understanding of how human-AI interactions influence outcomes, as current scientific literature offers inconclusive results on the benefits or risks of human involvement in AI-assisted decisions.
Francis Villatoro
@emulenews (Twitter)