César Hidalgo | How Humans Judge Machines | Talks at Google

César Hidalgo discusses his new book “How Humans Judge Machines”, in which he compares people’s reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions.

Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machines correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly.

Learn more about the book here: https://www.judgingmachines.com/.

Watch at: www.youtube.com

Entropy | Special Issue : What is Self-Organization?

Many of us have used the notion of “self-organization” in our studies. What is it precisely, though? A constituent element could be, e.g., the emergence of non-trivial properties from comparatively simple rules. What would simple, non-trivial or complex emergence mean in this context?

In this Special Issue, we invite viewpoints, perspectives, and applied considerations on questions regarding the notions of self-organization and complexity. Examples include:

Routes: In how many different ways can self-organization manifest itself? Would it be meaningful, or even possible, to attempt a classification?

Detection: Can we detect it automatically—either the process or the outcome? Or do we need a human observer to classify a system as “self-organizing”? This issue may be related to the construction of quantifiers, e.g., in terms of functions on phase space, such as entropy measures.

Complexity: Is a system self-organizing only when the resulting dynamical state is “complex”? What does “complex” mean exact;ly? Are there many types of complexity, or just a single one? E.g., it has never been settled whether complexity should be intensive or extensive, if any.

Domains: Where do we find self-organizing processes? Are the properties of self-organizing systems domain-specific or universal? In which class of systems does self-organization show up most clearly?

Prof. Dr. Claudius Gros
Dr. Damián H. Zanette
Guest Editors

Read more at: www.mdpi.com

Right and left, partisanship predicts (asymmetric) vulnerability to misinformation

We analyze the relationship between partisanship, echo chambers, and vulnerability to online misinformation by studying news sharing behavior on Twitter. While our results confirm prior findings that online misinformation sharing is strongly correlated with right-leaning partisanship, we also uncover a similar, though weaker, trend among left-leaning users. Because of the correlation between a user’s partisanship and their position within a partisan echo chamber, these types of influence are confounded. To disentangle their effects, we performed a regression analysis and found that vulnerability to misinformation is most strongly influenced by partisanship for both left- and right-leaning users.

Read the full article at: misinforeview.hks.harvard.edu

Complexity and the Social World: building on the legacy of Allen, Byrne, Stacey and Cilliers

Online event 3rd March 2021, 12.30-14.00 GMT

Complexity theory took off in the 1990s and four of the key people who shaped how these ideas were developed for application to the social world will be represented in this event. In this unique retrospective, we will explore how these four thinkers approached complexity thinking over long careers.

Invited Speakers

Peter Allen – Embracing Complexity
David Byrne – Complexity and the Social Sciences
Chris Mowles in the legacy of Ralph Stacey – Complex Responsive Processes
Rika Preiser in the legacy of Paul Cilliers – Complexity and Postmodernism
The discussion will be hosted by Jean Boulton

Read the full article at: complexity-physics.org