Apr 23, 2024 · In this paper, we lay the groundwork for the systematic study of AI persuasion. We first put forward definitions of persuasive generative AI.
Apr 24, 2024 · In this paper, we lay the groundwork for the systematic study of AI persuasion. We first put forward definitions of persuasive generative AI. We ...
May 25, 2024 · Bibliographic details on A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI.
Apr 23, 2024 · By defining key concepts, mapping out harm categories, and introducing mitigation strategies, the researchers have provided a valuable framework ...
Key Points: · Differentiates rational and manipulative types of AI persuasion. · Addresses both outcome and process harms caused by persuasive AI tactics.
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI. El-Sayed, S., Akbulut, C., McCroskery, A., Keeling, G., Kenton, Z., Jalan, Z., ...
May 3, 2024 · At Google DeepMind, we're taking a mechanism-based approach to mitigating these harms. ... Mitigating Harms from Persuasive Generative AI • 55 ...
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This has led to growing concerns about harms from AI persuasion and how they can be mitigated, highlighting the need for a systematic study of AI persuasion.
Feb 16, 2024 · We share our perspective on the necessity of implementing effective detection, verification, and explainability mechanisms to counteract the potential harms.
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Co-authors ; A mechanism-based approach to mitigating harms from persuasive generative ai. S El-Sayed, C Akbulut, A McCroskery, G Keeling, Z Kenton, Z Jalan, ...