Peter Slattery on Muck Rack

Peter Slattery

New York
As seen in: LinkedIn, Medium, MSN, OneZero, Nature, The Daily Beast, VICE, VICE UK, Tech Xplore, Homeland Security News Wire
Now: @BrooklynBotanic. Before: @MorningBrew, @Medium, @ozm, @VICE, @TheDailyBeast, etc.
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Articles

Systematic review and meta-analysis of educational approaches to reduce cognitive biases among students - Nature Human Behaviour

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By Ghassani Swaryandini, Jessica Graham, Vasco Grilo, Xingruo Zhang, Marta Mangiarulo, Geetanjali Basarkod, Clarence Ng, Philip Parker, Jason M. Tangen, Alexander Saeri, Emily Grundy, Peter Slattery, Shantell Griffith, Federica Ruzzante, Siu Kit Yeung
| Nature Verified
Abstract Resistance to cognitive biases is a crucial element of rationality that influences judgement and decision-making. Here we synthesized the effects of debiasing training in educational settings. Our systematic review found 54 randomized controlled trials consisting of 383 effect sizes and 10,941 participants.
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Peter Slattery, PhD on LinkedIn: Oliver Patel's list of top AI Governance Papers from 2024 is well worth… | 16 comments

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By Peter Slattery
| LinkedIn
Peter Slattery, PhD Peter Slattery, PhD is an Influencer Lead at the MIT AI Risk Repository | MIT FutureTech 3w Edited Report this post Oliver Patel's list of top AI Governance Papers from 2024 is well worth checking out, if you haven't already seen it: 𝐉𝐚𝐧𝐮𝐚𝐫𝐲 1️⃣ Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations - NIST 🔗 https://lnkd.in/eraKKjuq 𝐠𝐞𝐛𝐫𝐮𝐚𝐫𝐲 2️⃣ ASEAN Guide on AI Governance and Ethics -...
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AI, cybersecurity, killer robot, existential threats

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By Peter Slattery, Rachel Gordon, Neil Thompson
| Homeland Security News Wire Verified
AIGlobal AI Adoption Is Outpacing Risk Understanding, Warns MIT CSAIL Published 30 August 2024 As organizations rush to implement artificial intelligence (AI), a new analysis of AI-related risks finds significant gaps in our understanding, highlighting an urgent need for a more comprehensive approach. The adoption of AI is rapidly increasing; census data shows a significant (47%) rise in AI usage within US industries, jumping from 3.7% to 5.45% between September 2023 and February 2024.
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