MÉLODY MAILLEZ - Les émotions et l'IA : et si cela faisait de nous des super-décideurs ?

The talk provides a solid overview of established research on emotions and decision-making, grounded in appraisal theories and experimental evidence. The speaker effectively explains complex concepts like heuristic vs. analytical processing with clear examples and a well-designed experiment (Tiedens & Linton, 2001). The presentation is engaging and accessible, using a relatable scenario (chocolate cake and smartphone) to illustrate incidental emotions. However, the title promises a focus on AI, but AI is only briefly mentioned at the end, which may disappoint viewers expecting a deeper discussion on human-AI interaction. The speaker’s argumentation is logically coherent, but she does not critically evaluate the limitations of the cited studies (e.g., artificial lab settings, reliance on self-reported emotions). She also does not discuss potential replication issues or alternative theories. The sources are not explicitly cited during the talk, but the description provides a link to the organizing association’s website, which may contain further resources. The Q&A segment adds value by addressing audience questions, but the responses are not always deeply elaborated. Overall, the talk is informative and scientifically sound, but it could benefit from more explicit citations and a more balanced treatment of AI’s role. The adéquation titre/contenu is weak, as the AI aspect is underdeveloped, which slightly lowers the overall score.

The title suggests a focus on AI and emotions, but the talk primarily covers emotional influences on decision-making with only a brief mention of AI at the end, making the title somewhat misleading.

7/10

The talk is based on established psychological research (e.g., Lerner & Keltner, Tiedens & Linton) and presents experimental evidence accurately. However, it is a popular science presentation without detailed citations or peer-review context, and the speaker's own research is not detailed.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:00Introduction: speaker introduces herself and the topic of emotions and AI in decision-making.
• 02:00Thought experiment: chocolate cake and smartphone purchase illustrating incidental emotions.
• 05:00Explanation of appraisal theories and six dimensions of cognitive evaluation.
• 10:00Discussion of certainty as a key dimension influencing heuristic vs. analytical processing.
• 15:00Detailed description of Tiedens and Linton (2001) experiment on sadness and persuasion.
• 25:00Limitations of single-shot decisions and introduction of feedback in real-life decisions.
• 35:00Brief mention of AI's potential role in improving decision-making and our reluctance to use it.
• 45:00Q&A session: audience questions on AI, emotional regulation, and practical applications.

• Cognivence - Association des étudiant·es en sciences cognitives d'Île-de-France — Organizing association's website, likely containing event details and resources.

• Lerner, J. S., & Keltner, D. (2000). Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognition & Emotion, 14(4), 473-493. — Cited as foundational work on emotion-specific effects on risk perception.
• Tiedens, L. Z., & Linton, S. (2001). Judgment under emotional certainty and uncertainty: The effects of specific emotions on information processing. Journal of Personality and Social Psychology, 81(6), 973-988. — The experiment described in detail in the talk.