Predictive Policing and Artificial Intelligence
暫譯: 預測性警務與人工智慧
McDaniel, John L. M., Pease, Ken G.
- 出版商: Routledge
- 出版日期: 2022-08-29
- 售價: $2,200
- 貴賓價: 9.5 折 $2,090
- 語言: 英文
- 頁數: 312
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367701367
- ISBN-13: 9780367701369
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相關分類:
人工智慧、Machine Learning
海外代購書籍(需單獨結帳)
商品描述
This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions.
AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges. Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.商品描述(中文翻譯)
這本編輯過的文本匯集了眾多全球著名學者的見解,以評估預測性警務和人工智慧(AI)作為相互交織的政策領域的現狀。預測性和AI技術正在以空前的速度增長。強大的數位犯罪地圖工具被用來即時識別犯罪熱點,模式匹配和搜尋演算法正在篩選龐大的警察數據庫,這些數據庫中充斥著不斷增長的數據量,旨在識別可能經歷(或犯罪)的人、可能發生犯罪的地點以及與其可解決性相關的變數。面部和車輛識別攝像頭正在追蹤罪犯的行動,同時警察服務部門根據機器學習和其他類型的預測分析來制定策略。這些創新在英國、美國和澳大利亞等司法管轄區的現代警務中都是常見的特徵。
AI承諾減少不必要的勞動,加快各種形式的警務工作,促使警察部隊更有效地分配資源,並使警察能夠預防犯罪,保護人們免受各種未來的傷害。然而,預測性和AI技術及創新的承諾並不總是與現實相符。它們往往存在重大弱點,成本相當可觀,並需要做出挑戰性的權衡。這本書聚焦於英國、美國和澳大利亞,探討選擇架構、決策、人權、問責制和法治等主題,以及AI和預測技術在各種警務背景下的未來應用。該文本對於預測演算法、大數據集、機器學習系統以及更廣泛的警務策略和挑戰的好處與偏見的持續辯論作出了貢獻。
這本書以清晰直接的風格撰寫,將吸引警務、犯罪學、犯罪科學、社會學、計算機科學、認知心理學的學生和學者,以及所有對AI作為當代警務特徵的興起感興趣的人士。
作者簡介
John L.M. McDaniel teaches and researches within the University of Wolverhampton Department of Social Science, Inclusion and Public Protection and is an active member of the University's Law Research Centre. He focuses on issues of police accountability, corruption, human rights, and international cooperation and security.
Ken G. Pease is a Professor in Policing at the University of Derby. He has written numerous books on policing, psychology and crime science.作者簡介(中文翻譯)
約翰·L·M·麥克丹尼爾在伍爾弗漢普頓大學社會科學、包容性與公共保護系教授及研究,並且是該大學法律研究中心的活躍成員。他專注於警察問責、貪腐、人權以及國際合作與安全等議題。
肯·G·皮斯是德比大學的警務學教授。他撰寫了多本有關警務、心理學和犯罪科學的書籍。