scholarly journals Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science

2021 ◽  
Vol 12 ◽  
Author(s):  
Kimberly Stowers ◽  
Lisa L. Brady ◽  
Christopher MacLellan ◽  
Ryan Wohleber ◽  
Eduardo Salas

In response to calls for research to improve human-machine teaming (HMT), we present a “perspective” paper that explores techniques from computer science that can enhance machine agents for human-machine teams. As part of this paper, we (1) summarize the state of the science on critical team competencies identified for effective HMT, (2) discuss technological gaps preventing machines from fully realizing these competencies, and (3) identify ways that emerging artificial intelligence (AI) capabilities may address these gaps and enhance performance in HMT. We extend beyond extant literature by incorporating recent technologies and techniques and describing their potential for contributing to the advancement of HMT.

2020 ◽  
Vol 11 ◽  
pp. 183-201
Author(s):  
Nazura Abdul Manap ◽  
Azrol Abdullah

Artificial Intelligence (AI) has been developed under the field of computer science for more than 50 years. AI somehow only gains its prominence in the recent millennia when the necessary tools to test the hypothesis on nature of thought became available. Unfortunately, the absence of legal regulation on AI has caused AI to exist in a regulatory vacuum and nature abhors vacuum. The law is at the state of confusion about who shall be blameworthy for the damage caused by AI. The prevalence of this problem triggers for the expatiation of this review article in defining the scope of AI that must be regulated. The objective of this article is to suggest that AI with certain capabilities must be placed in the legal realm. This article will first begin by highlighting the problems associated with AI before directing the focus of the discussion to the various reasons that justify for AI to be regulated. This article will then explore the various approaches which can be adopted by government in regulating AI. These approaches can be a workable formula to procure the two-tier methods in regulating AI in Malaysia. The methodology devised for this article is based on doctrinal research where most of the materials are derived from text books, online resources and established academic databases. The findings made in this article suggest that AI must be regulated independently from the existing legal framework. Reason being, AI capabilities are unique in its own sense and therefore cannot be treated like other previous technologies. The outcome of this article will also able to contribute on issues relating to the legal liability of AI in Malaysia.


1981 ◽  
Author(s):  
Allen S. Goldman ◽  
James W. Lash ◽  
Delbert Dayton ◽  
Daniel Nebert

Author(s):  
Paul B. Paulus ◽  
Karen I. van der Zee ◽  
Jared B. Kenworthy

It is often presumed that diversity of group members will enhance group creativity. However, the evidence for this has been mixed. This chapter summarizes the state of the science in this area and provides an integrative framework based on the categorization elaboration model of van Knippenberg and colleagues. It focuses on the factors that influence the expression of diverse perspectives, attention to such expressions, the elaboration of the shared ideas, and how these lead to creative outcomes. It evaluates the importance of identity factors in this process and discusses the potential impact on both divergent and convergent creativity. It notes some of the gaps in the literature and suggests future directions.


2021 ◽  
Author(s):  
Kai Guo ◽  
Zhenze Yang ◽  
Chi-Hua Yu ◽  
Markus J. Buehler

This review revisits the state of the art of research efforts on the design of mechanical materials using machine learning.


Author(s):  
Mauro Vallati ◽  
Lukáš Chrpa ◽  
Thomas L. Mccluskey

AbstractThe International Planning Competition (IPC) is a prominent event of the artificial intelligence planning community that has been organized since 1998; it aims at fostering the development and comparison of planning approaches, assessing the state-of-the-art in planning and identifying new challenging benchmarks. IPC has a strong impact also outside the planning community, by providing a large number of ready-to-use planning engines and testing pioneering applications of planning techniques.This paper focusses on the deterministic part of IPC 2014, and describes format, participants, benchmarks as well as a thorough analysis of the results. Generally, results of the competition indicates some significant progress, but they also highlight issues and challenges that the planning community will have to face in the future.


2013 ◽  
Vol 32 (7) ◽  
pp. 814-818
Author(s):  
Rosemary Knight ◽  
James Cannia ◽  
Joseph Doetsch ◽  
John Fleming ◽  
Bob Grimm ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document