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SUMMARY:Why We Need a New Framework for Emotional Intelligence in AI - Max
  Parks\, Kheli Atluru\, Meera Vinod
DTSTART;TZID=US/Central:20260715T100000
DTEND;TZID=US/Central:20260715T103000
DTSTAMP:20260726T091054Z
UID:pretalx-iacap-2026-TPPY77@pretalx.iacapconf.org
DESCRIPTION:In this paper\, we develop the position that current framework
 s for evaluating emotional intelligence (EI) in artificial intelligence (A
 I) systems need refinement because they do not adequately or comprehensive
 ly measure the various aspects of EI relevant in AI. Human EI often involv
 es a phenomenological component and a sense of understanding that artifici
 ally intelligent systems lack\; therefore\, some aspects of EI are irrelev
 ant in evaluating AI systems. However\, EI also includes an ability to sen
 se an emotional state\, explain it\, respond appropriately\, and adapt to 
 new contexts (e.g.\, multicultural)\, and artificially intelligent systems
  can do such things to greater or lesser degrees. Several benchmark framew
 orks specialize in evaluating the capacity of different AI models to perfo
 rm some tasks related to EI\, but these often lack a solid foundation rega
 rding the nature of emotion and what it is to be emotionally intelligent. 
 In this project\, we begin by reviewing different theories about emotion a
 nd general EI\, evaluating the extent to which each is applicable to artif
 icial systems. We then critically evaluate the available benchmark framewo
 rks\, identifying where each falls short in light of the account of EI dev
 eloped in the first section. Lastly\, we outline some options for improvin
 g evaluation strategies to avoid these shortcomings in EI evaluation in AI
  systems.
LOCATION:Apollo Auditorium
URL:https://pretalx.iacapconf.org/iacap-2026/talk/TPPY77/
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