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Human/Machine Dynamics 
Josh Redmond (University of Exeter)
Liam Berrisford (University of Exeter)
Maria Schewenius (Stockholm Resilience Centre)
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Wednesday 8 June, -
Time zone: Europe/London

Short Abstract:

Machine/human interaction is now ubiquitous in our daily lives, from the most intimate to the most impersonal. This panel will explore the current dynamics of this interaction, and seek to imagine how our lives will change artificial intelligence, virtual reality, and robotics continue to advance.

Long Abstract:

Machines permeate every aspect of our lives – mediating our relationships with one another, assisting us in our daily lives, or hindering and harming us either by design or unintentionally. Machines also contribute to the design process of the world around us – either passively, such as an industrial designer drawing up plans on AutoCAD, or actively through modelling and generative design algorithms. Similarly, the practical aspects of the world are designed through the actions of machines – robotic vacuums contribute to the design of a home, and recommendation algorithms design the virtual worlds that we inhabit. The extent to which machines have agency of their own, or merely stochastically parrot (to borrow a phrase from Bender et al., 2021) results which replicate the circumstances in which they were designed and built is unclear, and is likely to change as technology advance. As machine learning drives more and more computer and robotics applications, understanding how humans can meaningfully interact with these systems in every aspect of their lives will become increasingly important. In the new world co-created by humans and machines – machines will further develop their own agency; with humans and machines both pursuing sometimes conflicting and sometimes synergising agendas. Will humans and machines live in harmony, or conflict and undermine each others’ goals and intentions?

This panel will explore the ways in which humans and machines interact, and collaborate with one another in their daily lives, and seek to understand the dual roles of machine and human agency in this space.

Accepted papers:

Session 1 Wednesday 8 June, 2022, -