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100			_aSHINDLER Adam
245			_aTrusting machine intelligence: _bartificial intelligence and human-autonomy teaming in military operations/ _cAdam Shindler
260			_c2023
520			_aContinuous advances in artificial intelligence has enabled higher levels of autonomy in military systems. As the role of machine-intelligence expands, effective co-operation between humans and autonomous systems will become an increasingly relevant aspect of future military operations. Successful human-autonomy teaming (HAT) requires establishing appropriate levels of trust in machine-intelligence, which can vary according to the context in which HAT occurs. The expansive body of literature on trust and automation, combined with newer contributions focused on autonomy in military systems, forms the basis of this study. Various aspects of trust within three general categories of machine intelligence applications are examined. These include data integration and analysis, autonomous systems in all domains, and decision-support applications. The issues related to appropriately calibrating trust levels varies within each category, as do the consequences of poorly aligned trust and potential mitigation measures.
598			_aARTIFICIAL INTELLIGENCE, NEWARTICLS
650			_aARTIFICIAL INTELLIGENCE _xAUTONOMOUS PLATFORMS
773			_gDefense & Security Analysis, Volume 39, Issue 4, December 2023, page: 521-538
856			_uhttps://www.tandfonline.com/doi/full/10.1080/14751798.2023.2264070 _zClick here for full text
942			_2ddc _cARTICLE _n0
999			_c46944 _d46944