Talking to machines, deciding with machines: Public engagement with science in the era of artificial intelligence

לוגו ALIES

AI

From: Pexels

Advances in the field of machine learning, the accumulation of Big-Data and the growth of computing power have produced artificial intelligence (AI) technology. Various forms of AI, such as Apple’s Siri and Amazon’s Alexa, which have entered everyday life in the 21st century, allow users to interact with smart devices, asking the devices questions and consulting them. People are already asking algorithm-based communication tools for assistance in making science-related decisions. However, today, these tools mainly provide single search results. In the future, devices based on AI will condense millions of search results and combine them into a single coherent argument.

As communicative AI steps into the role of a science communicator, it can have implications. On the one hand, this phenomenon can have positive consequences such as the accessibility of huge amounts of information which may help in the process of making informed decisions. On the other hand, these systems may weaken established and credible actors, such as science journalism, and Increase uncertainty about which sources and claims can be considered valid.

One of the major purposes of contemporary science education is to prepare non-scientists to make sense of science in their daily lives, be critical consumers of scientific information, and make informed decisions about scientific and socio-scientific issues.

  • Can artificial intelligence support an informed public engagement with science and evidence-based decision-making?
  • How will audiences react to an AI system as a science communicator?
  • Will people use such technology to support informed decisions in socio-scientific issues, or as yet another tool to support and cherry-pick their pre-existing beliefs?

Our joint team of science communication and education researchers from Germany and Israel critically and reflectively rethink the concept and measurement of science literacy in adult life against the background of future developments of artificial intelligence.

ALIES is a three-year project funded by Niedersachsen grant, Ministry of Science in Lower Saxony, Germany

1לוגו פולקסווגן        1לוגו גרמניה

The Team

AYELET NEW
Prof. Ayelet Baram-Tsabari,

Head of the Applied Science Communication research group
Technion – Israel Institute of Technology, Israel

INBAL AVRAHAM
Dr. Inbal Klein-Avraham
Applied Science Communication research group
Technion – Israel Institute of Technology

Shakked1
Ph.D Student Shakked Dabran

Applied Science Communication research group
Technion – Israel Institute of Technology

With our German Colleagues:

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Prof. Dr. Monika Taddicken,
Institute for Communication Science, TU Braunschweig

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Dr. Esther Greussing
Institute for Communication Science, TU Braunschweig