计算机科学
感情的
人工智能
一套
过程(计算)
感知
机器学习
数据科学
人机交互
心理学
程序设计语言
历史
认识论
哲学
考古
神经科学
出处
期刊:Social Work
[Oxford University Press]
日期:2021-06-29
卷期号:66 (4): 372-374
被引量:26
摘要
Artificial intelligence (AI) is not a single tool, rather it is a suite of algorithmic computing capacities that can perform humanlike functions across settings. AI refers to dynamic machine intelligence, including facial recognition (computer vision), perception (computer vision and speech recognition), whole language processing (chatbots and data mining), and social intelligence (emotive computing and sentiment analysis), to name a few. The actual lines of code powering AI tools are commands that tell machines what to do, which can be neutral strings of directives. However, those who program the code, the data that powers outcomes, and the social systems in which these tools are deployed all inevitably reflect existing structural inequalities. AI now powers decision making from as benign as matching drivers to those who require transportation, to ethically fraught risk management processes, including the scoring of criminal offenders for sentencing and initial triage process in child welfare (Eubanks, 2018).
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