The Future of Education

Edition 14

Accepted Abstracts

Education, Big Data, Collective Awareness and Artificial Intelligence

Lucia Bianchi, University of Cambridge (United Kingdom)

Pietro Lio', University of Cambridge (United Kingdom)

Abstract

There’s a great amount of debate and concern over artificial intelligence (AI) impact on jobs, whether it will soon replace us in the workplace [1-3]. Current research projects show that artificial intelligence can also be used for the greater good (AI for social good). We discuss how AI could help us in big challenges such healthcare education, predicting natural disasters, driving safer, saving energy and wildlife conservation.
We discuss a vision of AI as new medium, its capability to detect nonlinear patterns, to be generative, multi scale and to integrate information from very different Big Data areas such as genomic, social networks, brain MRI data,  particularly when mechanistic models are not available.
Next we discuss how AI has a powerful impact on automatic big data integration of evidences. On the other side, Big data challenges our cognitive limitations (the human mind is limited to handling 5  to 9 distinct pieces of information) and our bounded rationality system, i.e. people don’t always optimize because it is often impractical to consider all possible solutions to a problem. The biases in Big data could affect AI performances being affected by availability, anchoring, representativeness and other heuristic approaches. This aspect, in turn, will impact on the generative power of AI. The lack of education on AI will represents a major concern in developing a collective awareness and a sense of responsible monitoring over AI. A critical and responsible, non negative approach should be based on interpretability,and explainability in particular in deep learning. We conclude with metric, guidelines and examples of educational approaches in AI.

Keywords: Artificial intelligence, deep learning, automation.

References:
[1] https://www.weforum.org/reports/the-future-of-jobs-report-2018
[2] https://www.mckinsey.com/featured-insights/gender-equality/the-future-
of-women-at-work-transitions-in-the-age-of-automation
[3] https://www.theguardian.com/technology/2018/jul/17/artificial-
intelligence-will-be-net-uk-jobs-creator-finds-report

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