SJDM:
@LTreiman: Human training of artificial intelligence (180). Sunday 8.30am
@TheaZalabak: Model-based foraging in structured environments (13). Sunday 4.30pm
The CDML is at Psychonomics _and_ SJDM this year! Members of our lab will present two talks and two posters on Friday at Psychonomics, and we have two more posters at SJDM on Sunday. Come say hi! #psynom24@Psychonomic_Soc@SJDMOfficial
Merve Ileri-Tayar: Switching Between Cognitive Control States? No, Thank You (3005). Friday 6pm
Chris Ahn: Environmental Regularities Shape Visual Search Strategies (4023). Friday 7.45pm
Beyond excited that our paper “The consequences of AI training on human decision making” has been published in @PNASNews (https://t.co/L6t9qzh2AE) with #CJHo and @wouterkool. We report 5 experiments that show people change their behavior when training AI.
Come and see our work at #CCN2024 from @DavideGhez, @TheaZalabak, and @wouterkool not once, but twice! Check out Davide’s talk on Thursday at 4pm, and come say hi to learn more at his poster on Friday at 11:15am! @CogCompNeuro
So honored to have had the opportunity to present at @hcomp_conf on our paper “Humans forgo reward to instill fairness on AI with #CJHo and @wouterkool. We show that people give up money to train artificial intelligence (AI) to be fair https://t.co/u279vVWJur
It's been a while, but our lab has an @SfNtweets presentation! @AtaBK will talk about how he uses behavioral and neural RSA to measure the construction of cognitive maps. Joint work with @zreagh.
🎙️ Concluding the first session of Day 2 at #HCOMP2023#CI2023! We delved deep into the vital topic of fairness, with @UjLaw as our session chair. The session featured insightful presentations exploring biases and fairness in the current AI landscape. 🌐🤝 #AI#Fairness
If you’re at #HCOMP2023, our graduate student @LTreiman will be presenting her recent paper, “Humans forgo reward to instill fairness into AI,” a collaboration with #CJHo and @wouterkool tomorrow morning at 9am during Session 4! @hcomp_conf
New preprint! https://t.co/66YUqGZAh9
Our environments are complex and ever changing. We report behavioral data and neural network simulations showing that, in multidimensional environments, humans adapt attentional control in a dimension-specific way.
w/@wouterkool
↓ 1/11
Excited to share our preprint “Choosing the right frame: How context preferences facilitate subsequent choice” with @wouterkool! We develop a novel paradigm to show that people have context preferences and that these preferences affect downstream choices. https://t.co/PBeg7Sipod
The Braver @ccplab_wustl, Bugg, and Kool @cdmlab labs at @WUSTL are looking to hire a postdoctoral researcher for an ONR-funded project on the cognitive neuroscience of attentional control. A detailed ad can be found here: https://t.co/FdyIt1kVqb
#CNS2023 First public appearance of the MULTIdimensional task-set interference paradigm from @cdmlab. Poster D40. It already speaks and tells you stories about how you deal with distractors in a complex environment, with EEG & RSA.
with @wouterkool & @TheaZalabak
Excited to announce my 1st first-author preprint on “The construction and use of cognitive maps in model-based control”. This work was supported by the excellent mentorship of @zreagh and @wouterkool https://t.co/sZa1um6byR 1/11