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Winterschool on Humans & Technology

PhD Winterschool on Humans and Technology

The 4TU network is planning for the 5th iteration of a Winterschool on Humans &Technology, in collaboration with SIKS.

It will take place from November 1st - 5th 2021

 You can expect 5 days of (hopefully in person*):

  • lectures from experts in the field
  • doctoral consulting sessions
  • collaborative working sessions

With this Winterschool, we would like to connect the new generation of researchers on Humans and Technology to the already established network in the Netherlands. We would like to provide an opportunity to learn from each other by sharing research questions and experiences. We encourage the creation of white-papers.

*we are aiming at a physical Winterschool, Located in Delft in the Netherlands

Costs: free (including food and accommodation), no travel funding provided.

Registration Form 

Registration: Closed

Programme committee:

Assistant Prof. Catharine Oertel, Assistant Prof. Frank Broz, Prof. Dirk Heylen, Prof. Mark Neerincx

Local organisation:

Assistant Prof. Catharine Oertel, Prof. Dirk Heylen, Prof. Mark Neerincx, Anita Hoogmoed, Anne van de Maat

Monday Day 1: Human-AI co-learning

Organizers: Assistant Prof. Catharine Oertel (TU Delft)

Keynote speaker: Prof. Marcus Specht

Title: Enhancing AI for education with physical interaction and robot

Day 1 is concerned with how humans and AI can co-learn. 

 

PROGRAMME SCHEDULE: Human-Robot teams

12:00

Arriving and lunch

13:00

Welcome and Introductory remarks

13:30

Keynote/Invited Speaker: Learning Analytics

14:30

PhD student poster presentation with Coffee           (no printed posters needed)

16:00

Tutorial Furhat: Interactive demo on Robotics

17:30

Tutorial  Associate Prof. Joost Broekens on the Interactive Robotics platforms (to design and prototype human-robot interactions. 

(snacks will be served)

19:00

Mingling and dinner

Tuesday Day 2: Human-AI co-evolution

Organizers: Prof. Mark Neerincx (TU Delft) and Prof. Wijnand IJsselsteijn (TU Eindhoven)

More and more, virtual agents and social robots will enter our working and leisure environments with increasing adaptation and learning capabilities. This results in an co-evolving human-AI system with, implicit and explicit, mutual adaptation and learning processes. This day will center on the design and evaluation of these continuous processes, aiming at advanced performance and well-being. Insights from evolutionary processes such as mutualistic symbiosis, habituation and human-animal collaboration will be presented and discussed, at the levels of hybrid teams and communities. The group work will make these concepts concrete with the design of a co-evolving social robot (“a new breed”).

 

PROGRAMME SCHEDULE: Human-AI Co-Evolution

9:00

Introduction theme and day (Prof. Mark Neerincx)

9:15

Presentation Prof. Wijnand IJsselsteijn: Human and Machine Intelligence: Deep Learning versus Deep Understanding

10:00

Coffee and discussion

10:30

Presentation Assistant Prof. Janet Yi-Ching Huang: Human-AI co-learning and co-evolution in complex creative tasks

11:15

Presentation Associate Prof. Mathias Funk: Tools for data-driven (evolving) creation of novel members of things ecologies

12:00

Lunch

13:15

Presentation Prof. Mark Neerincx: The Growth of Hybrid Collective Intelligence

14:00

Keynote Prof. Paul Dumouchel on Human-AI Co-evolution

14:45

Coffee break

15:00

Panel discussion with all presenters (a.o.t. as input of group work)

15:30

17:00

Group work with pitches at end

Drinks and Dinner

Wednesday Day 3:
Human-Robot teams: between performance and creativity; a social-signal processing perspective

Organizers: Assistant Prof. Catharine Oertel (TU Delft), Assistant Prof. Frank Broz (TU Delft),  Assistant Prof. Senthil Chandrasegaran (TU Delft)

Day 3 is concerned with how humans and robots can work together in teams. 

  • What kind of social intelligence do robots need to possess to collaboratively work together with humans?
  • Which are scenarios in which working with robots can make us perform better?
  • Which are scenarios where robots can give us more space to be creative?

Keynote Prof. Nale Lehmann-Willenbrock:

Teams and leadership in action: insights from interaction analysis

Understanding successful teamwork and effective leadership requires a closer look at the interaction patterns in teams and between leaders and followers. This talk will highlight the intricate social dynamics that help explain team effectiveness as well as successful leadership influence in teams and dyads. The majority of the empirical insights highlighted in this talk will focus on meetings as a core interactional venue in organizations where relationships are built and maintained, team collaboration unfolds, and leadership influence emerges and affects follower behavior and attitudes. 


PROGRAMME SCHEDULE: Human-Robot teams

9:00

Keynote/Invited Speaker: Prof. Nale Lehmann-Willenbrock

10:00

Coffee break and discussion

10:30

Guided group creativity facilitation:  Assistant Prof. Senthil Chandrasegaran + PhD-Candidate Jesse Nijdam

12:00

lunch

13:30

Invited talk on Human-Robot teamwork:  Assistant Prof. Catharine Oertel +  Assistant Prof. Frank Broz

14:30

Group work

15:30

Coffee break

16:00

Gaze tracking tutorial by Assistant Prof. Frank Broz

17:00

Drinks and Dinner

THURSDAY DAY 4: TRUST in HYBRID INTELLIGENCE

Organizers: Dr. Bernd Dudzik (TU Delft) and Associate Prof. Birna van Riemsdijk (University of Twente)

Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values. To enable such exchanges and collaboration between humans and intelligent machines, it is central that appropriate human-machine trust is established and maintained. During this day you will be familiarized with recent advances in the field of HI, with a specific focus on trust.

KEYNOTE: Do I believe that you believe that I am trustworthy? (Assistant Prof. Myrthe Tielman)

Trust and Trustworthiness are two terms which are very relevant when we talk about AI, and even more so in HI. Moreover, if we talk about responsible HI we quickly end up with the requirement of appropriate trust. If we wish for AI systems to understand and use these terms and concepts, it becomes crucial that we can define what they mean, and how we can observe or measure them. This in this talk, I will explore how we can study these concepts, and how they relate to each-other.


 PROGRAMME SCHEDULE: Trust in Hybrid Intelligence

 OPENING

09:00

 Associate Prof. Birna van Riemsdijk / PhD-Candidate Bernd Dudzik

 KEYNOTE

09:15

Do I believe that you believe that I am trustworthy - Assistant Prof. Myrthe Tielman

 (50min + 10min discussion)

 BREAK

10:15

-- 

 BLOCK 1: DEVELOPING TRUSTWORTHY TECHNOLOGY

10:30

 Monitoring and constraining adaptive systemsPhD-Candidate Annet Onnes

 (15 min + 5 min discussion)

10:50

Fairness in Learning to Rank - PhD-Candidate Maria Heuß

 (15 min + 5 min discussion)

 BLOCK 2: HOW HUMANS TRUST SYSTEMS

11:10

A Machine With a Human-Like Memory SystemPhD-Candidate Taewoon Kim

(15 min + 5 min discussion)

11:30

Can I Trust you? Partner selection and person perception in social interactions - PhD- Candidate Tiffany Matej Hrkalovic

(15 min + 5 min discussion)

 CLOSING

11:55

Associate Prof. Birna van Riemsdijk / PhD-Candidate Bernd Dudzik

 LUNCH

12:00

Lunch

13.30

Social programme / PhD-defense Bernd Dudzik

FRIDAY DAY 5:  DIVERSITY & BIAS IN AI

Organizers: Assistant Prof. Minha Lee (TU Eindhoven) and Assistant Prof. Gijs Huisman (TU Delft)

Bias in AI comes in many forms. Voice assistants may not recognize certain accents, image recognition algorithms may mislabel people based on assumed race and gender, and embodied AI, like robots, can be non-inclusive in design, e.g., robots with "female" voices with white bodies. Thus, we think of ways to make room for greater diversity in the design and deployment of AI systems on this day, for ethics in AI should be an integral process rather than an afterthought. We will together 1) aim to understand and mitigate the effects of bias in AI and 2) outline how to promote diversity in and of future AI systems, as well as in AI research teams.

 

PROGRAMME SCHEDULE: Diversity & Bias in AI

9:00 – 9:10

Introduction

9:10 – 10:00

Keynote/Invited Speaker: Cameron Taylor

10:00

Coffee break and discussion

10:30

Guided group creativity facilitation

12:00

lunch

13:30

Group work

14:30

Discussion & Feedback

15:00

Closing

Plenary Closing/ Drinks: 15.00 - 16.00

For previous 4TU H&T winterschools see: https://www.4tu.nl/ht/en/news/!/3913/winter_school_2018/

If you have questions please send an email to: j.g.vandemaat@utwente.nl