- Build an interdisciplinary roadmap on human vs machine intelligence, potential algorithm’s impact on human cognitive capabilities and decision making, and evaluation and regulation needs. Identify future research challenges and practical way to address them.
- Build a community of researchers for the HUMAINT project to collaborate with.
- Explore research synergies between this community.
Workshop information and details were published at the Science Hub event page.
The workshop gathered more than 45 experts from research and industry working in different disciplines, including neuroscience, psychology, computer science, philosophy, economy, law, health and music. The program was based on a set of short presentations followed by some panel discussions.
Day 1 - March 5th
9.00-9.30 Welcome and introductions (Jutta Thielen-del-Pozo, Emilia Gómez)
(1) Human vs machine intelligence
Which are the fundamental differences between human and machine intelligence? How do algorithms complement or replace human tasks now and how will they do this in the future? Will algorithms that take over some of our tasks affect the balance between human and machine intelligence?
(2) Algorithms’ impact on human behavior
How do algorithms, when exploited in different applications, affect human cognitive capabilities? How do algorithms have the potential to modify the way humans make decisions based on them (e.g. influence of recommendations, personalization)? Which are the suitable strategies for effective human-algorithm interaction?
Day 2 - March 6th
(3) Evaluation and regulation of algorithms
How should algorithms be evaluated in a research vs industrial context? Which are policy needs in terms of the usage of algorithms into real applications? Which is the research needed to support these policy needs?
(4) Application domains
Presentation of several application contexts where there is an interaction between human and machine intelligence.