ELLIS-DDMLab Workshop 2023

ELLIS Alicante in Spain and the Dynamic Decision Making Laboratory (DDMLab) in the USA, have joined forces to create research collaborations on Human-Centered Artificial Intelligence (AI).

In the 2023 ELLIS-DDMLab 3-day workshop, researchers from both laboratories will come together to encourage and develop novel collaborations in the study of human-AI complementarity and the role of AI in human societies. This workshop will be held March 7-9, 2023 in Alicante, Spain.

The goal of this workshop is to generate new research ideas that will advance the foundational research of human-AI collaborations and interdependencies. At the end of this workshop, researchers from ELLIS and DDMLab would have determined concrete themes of collaboration between the two laboratories, which will be pursued in future search.

To learn more visit the website of the event on DDMLab’s page!

Logos of DDMLab, CMU and ELLIS Alicante

Dynamic Decision Making Laboratory

A private, global research university, Carnegie Mellon University stands among the world’s most renowned educational institutions, and sets its own course. Start the journey here. Over the past 10 years, more than 400 startups linked to CMU have raised more than $7 billion in follow-on funding. Those investment numbers are especially high because of the sheer size of Pittsburgh’s growing autonomous vehicles cluster – including Uber, Aurora, Waymo and Motional – all of which are here because of their strong ties to CMU. With cutting-edge brain science, path-breaking performances, innovative startups, driverless cars, big data, big ambitions, Nobel and Turing prizes, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, they create it.

The Dynamic Decision Making Laboratory was founded in 2002 by Prof. Cleotilde Gonzalez. Initially supported by a grant from the Army Research Laboratories, the DDMLab is now a group fully funded by grants from research institutions. The focus of the DDMLab research is to develop theoretical understanding of the process by which humans make decisions in dynamic environments and to provide practical demonstrations of how this theoretical knowledge can be used to improve human dynamic decision making and general performance in a number of practical domains. At the DDMLab, they use cognitive computational models and laboratory experiments to help explain and predict how people make such decisions. They also develop recommendations for how people can make such decisions better. Their driving theory is the Instance-Based Learning Theory (IBLT), which in essence proposes that people make choices by retrieving the best outcomes from their past experience. The process involves:

  • Retrieve memories (instances) that resemble the current situation (instances are triplets: situation-decision-utility)
  • Filter memories according to their maximum experienced expected value (utility or blended value)
  • Evaluate and store new instances reflecting each possible option in the decision situation
  • Select the option with the maximum blended value

Schedule

The event will take place March 7-9, 2023 in Alicante, Spain. Activities will take place from 9:30 to 17:00, Tuesday through Thursday.

Tuesday Wednesday Thursday
Morning Session 1
Kickoff
Nuria Oliver & Coty Gonzalez
9:30-10:00

Coty Gonzalez
An Overview of Human-AI Teaming Research at the DDMLab
10:00-10:30

Erin Bugbee
A Cognitive Model for Deciding When to Stop: Explaining Sequential Decisions and Accounting for Learning in Optimal Stopping Tasks
10:30-11:00
Nuria Oliver
ELLIS and ELLIS Alicante
9:30-10:00

Aditya Gulati
Human Cognitive Biases and AI
10:00-10:30

Piera Riccio
Artificial Intelligence, Beauty and Culture
10:30-11:00
Breakout groups begin
9:30-11:00
Coffee Break 11:00-11:30 11:00-11:30 11:00-11:30
Morning Session 2
Chase McDonald
Cooperative Partners for Human-AI Teaming
11:30-12:00

Tyler Malloy
Overcoming Biases and Constraints in Multi-Agent Games
12:00-12:30

Jeffrey Flagg
Theory of Mind Metrics and Individual Differences
12:30-13:00
Julien Colin
Human-centric algorithmic transparency
11:30-12:00

Adrian Arnaiz
Algorithmic fairness
12:00-12:30

Gergely Nemeth
Privacy-Preserving Federated Learning
12:30-13:00
Breakout groups continue
11:30-13:00
Lunch 13:15-14:30 13:15-15:15
With International Women's Day concert at Casa Mediterraneo. [13:30-14:30]
13:15-14:30
Afternoon Session 1
Baptiste Prebot
Towards Human-AI collaboration for autonomous cyber defense
14:45-15:15

Yinuo Du
Emperical Evaluation of Cyber Deception
15:15-15:45
Kajetan Schweighofer
Modeling Uncertainty in ML Models
15:15-15:45
Breakout groups finalize work
14:45-15:45
Break 15:45-16:00 15:45-16:00 15:45-16:00
Afternoon Session 2
Maria José Ferreira
Creating Technology to Improve Social Agents
16:30-17:15

Ngoc Nguyen
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models
16:30-17:00
Kaylin Bolt
Data and AI to inform policy making during the COVID19 pandemic
16:00-16:30

Chiara Natali
Open, Multiple, Adjunct - A research agenda on Human-AI Collaboration Protocols
16:30-17:00
Powerpoint presentations & discussion
16:00-17:00
After Workshop Activity Library tour at Biblioteca de Libros Felices.
17:30-19:30

Tapas Dinner
20:00-22:00
Visit to Santa Bárbara Castle
17:30-19:30
Event with Nuria: "People from Alicante who are changing the world."
18:00-21:00

Venue

Workshop activities will be held in the new Digital District Building 5, Muelle Pte., 03003 Alicante, Spain. This is the fifth headquarters of the Digital District in the city of Alicante, with the capacity to accommodate 550 employees of companies in the technology sector.

Zoom

Workshop activities on Tuesday and Wednesday will be broadcast through Zoom. You may log in at any time to view the proceedings. However, please note that guest’s audio and chat will be disabled during the event! Thanks!

  • Zoom Meeting Link: https://cmu.zoom.us/j/98488985342?pwd=ajZiUkpKWnJSUzJFVHozK0ZwV2lYdz09
  • Meeting ID: 984 8898 5342
  • Passcode: ellisddml
  • Join by SIP: [email protected]
  • Join by H.323
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    • Meeting ID: 984 8898 5342
    • Passcode: 836811541