Literature DB >> 33501218

How Could Future AI Help Tackle Global Complex Problems?

Anne-Marie Grisogono1.   

Abstract

How does AI need to evolve in order to better support more effective decision-making in managing the many complex problems we face at every scale, from global climate change, collapsing ecosystems, international conflicts and extremism, through to all the dimensions of public policy, economics, and governance that affect human well-being? Research in complex decision-making at an individual human level (understanding of what constitutes more, and less, effective decision-making behaviors, and in particular the many pathways to failures in dealing with complex problems), informs a discussion about the potential for AI to aid in mitigating those failures and enabling a more robust and adaptive (and therefore more effective) decision-making framework, calling for AI to move well-beyond the current envelope of competencies.
Copyright © 2020 Grisogono.

Entities:  

Keywords:  AI decision support; complex decisions; human limitations; interface design; wicked problems

Year:  2020        PMID: 33501218      PMCID: PMC7805908          DOI: 10.3389/frobt.2020.00050

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  4 in total

Review 1.  How to grow a mind: statistics, structure, and abstraction.

Authors:  Joshua B Tenenbaum; Charles Kemp; Thomas L Griffiths; Noah D Goodman
Journal:  Science       Date:  2011-03-11       Impact factor: 47.728

2.  Maximizing the information learned from finite data selects a simple model.

Authors:  Henry H Mattingly; Mark K Transtrum; Michael C Abbott; Benjamin B Machta
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-06       Impact factor: 11.205

3.  Building machines that learn and think like people.

Authors:  Brenden M Lake; Tomer D Ullman; Joshua B Tenenbaum; Samuel J Gershman
Journal:  Behav Brain Sci       Date:  2016-11-24       Impact factor: 12.579

4.  A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex.

Authors:  Jeff Hawkins; Marcus Lewis; Mirko Klukas; Scott Purdy; Subutai Ahmad
Journal:  Front Neural Circuits       Date:  2019-01-11       Impact factor: 3.492

  4 in total

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