Relevant bibliographies by topics / Artificial Intelligence in Policing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial Intelligence in Policing'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Artificial Intelligence in Policing"

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Jung, Woo Il, and Hoon Jin Cha. "Artificial Intelligence Policing." Korean Association of Public Safety and Criminal Justice 27, no. 2 (2018): 307–22. http://dx.doi.org/10.21181/kjpc.2018.27.2.307.

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Palmer, Adam. "Artificial Intelligence and Police Decision Making Processes." Journal of Intelligence, Conflict, and Warfare 3, no. 3 (2021): 73–75. http://dx.doi.org/10.21810/jicw.v3i3.2575.

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On November 26, 2020, Chief Constable Adam Palmer of the Vancouver Police Department (VPD) presented Artificial Intelligence and Police Decision Making Processes at the 2020 CASIS West Coast Security Conference. The presentation was followed by a group panel for questions & answers. Main discussion topics included the integration of data and information sharing systems between BC policing services at all levels, the integration of geospatial technologies into policing in BC, the benefits of introducing better business analytics into policing, and better policing for situations involving me
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Eke, Dr Roberts Ndukwe. "Adopting Artificial Intelligence-Based Predictive Policing in Nigeria." African Journal of Advances in Science and Technology Research 18, no. 1 (2025): 142–64. https://doi.org/10.62154/ajastr.2025.018.010680.

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Nigeria's criminal landscape is characterised by various crimes, violence, terrorism, political unrest, and alienation of citizens. Nigeria ranked fifth in Africa and twelfth globally in terms of genocide risk as of the end of 2023. With a population of more than 200 million, a high rate of child mortality, continuous deaths from battle, the nation's own history of mass murder, and ethnic fragmentation all contribute to this risk. The conventional policing techniques in Nigeria has not provided adequate crime mitigation due to several factors. This paper canvases the concept and implementation
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Syauket, Amalia, Ratna Indriasari, and Mic Finanto Ario Bangun. "IMPLEMENTASI KECERDASAN BUATAN DALAM TUGAS KEPOLISIAN." Jurnal Kajian Ilmu Kepolisian dan Anti Korupsi 1, no. 2 (2024): 93–98. https://doi.org/10.31599/ahfp0q36.

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In recent years, the field of policing has undergone major changes especially in the digitization of systems and equipment used by the police as tools in crime investigation and prevention. The importance of proactive policing and prevention strategies in the digital age makes it possible to identify and prevent criminal activity before it occurs through the use of sophisticated analytical tools, intelligence roles and other digital tools. This descriptive research aims to find out how the implementation of artificial intelligence in policing in the current digitalization era? The results conc
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Korhonen, Tuomas, Ossi Heino, and Teemu Laine. "Ambidextrous Utilisation of Artificial Intelligence in Policing: A Conceptual Framework." Hallinnon Tutkimus 40, no. 4 (2021): 264–75. http://dx.doi.org/10.37450/ht.107860.

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This conceptual paper contributes to the literature by showing the need to understand artificialintelligence (AI) in policing outside the task-dependent environment of today. We examine AI in policing by outlining its potential opportunities and challenges in exploration for today’s policing tasks and beyond. Based on these findings, we reflect upon Holmqvist’s prior theorisation of the dynamics of organizational ambidexterity (i.e., exploitation and exploration). The paper offers future research avenues for public administration and general management researchers interested in AI.
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Alqatawna, Ammar. "Utilizing Artificial Intelligence (AI) in Criminal Justice and Policing." Comparative Law Review 30 (December 3, 2024): 9–33. https://doi.org/10.12775/clr.2024.001.

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The use of AI in criminal justice and policing has significantly increased in EU countries. AI tools are being used in various phases of a criminal case, from police tasks to those of judges. While the use of AI in criminal justice is impressive in certain areas, it poses serious challenges and concerns, including potential violations of fundamental rights. This paper examines the risks of using AI in criminal justice, addresses the current use of some AI systems, and explores how the legal framework within the EU regulates its use, including EU directive 2016/680 and the projected AI Act.
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Ying Zhang. "The Game Between Intelligent Monitoring and Privacy in AI Policing." Frontiers in Humanities and Social Research 2, no. 01 (2025): 105–7. https://doi.org/10.71465/fhsr29.

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The fast development of artificial intelligence technology has pushed forward the intelligent transformation of police work. The artificial intelligence police system with intelligent surveillance at its core has had significant effects in areas like crime prevention and emergency handling. But its ability to collect a large amount of data and analyze behaviors has also caused wide disputes in terms of privacy protection. This article discusses the game relationship between intelligent surveillance and privacy rights in artificial intelligence policing from multiple aspects such as technology
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Sarzaeim, Paria, Qusay H. Mahmoud, Akramul Azim, Gary Bauer, and Ian Bowles. "A Systematic Review of Using Machine Learning and Natural Language Processing in Smart Policing." Computers 12, no. 12 (2023): 255. http://dx.doi.org/10.3390/computers12120255.

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Smart policing refers to the use of advanced technologies such as artificial intelligence to enhance policing activities in terms of crime prevention or crime reduction. Artificial intelligence tools, including machine learning and natural language processing, have widespread applications across various fields, such as healthcare, business, and law enforcement. By means of these technologies, smart policing enables organizations to efficiently process and analyze large volumes of data. Some examples of smart policing applications are fingerprint detection, DNA matching, CCTV surveillance, and
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Dubravova, Hana, Jan Cap, Kristyna Holubova, and Lukas Hribnak. "Artificial Intelligence as an Innovative Element of Support in Policing." Procedia Computer Science 237 (2024): 237–44. http://dx.doi.org/10.1016/j.procs.2024.05.101.

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Oh, Hye-Sung. "Development Strategies for Policing in the Age of Artificial Intelligence." Korean Journal of Security Convergence Management 14, no. 5 (2025): 183–96. https://doi.org/10.24826/kscs.14.5.11.

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Dissertations / Theses on the topic "Artificial Intelligence in Policing"

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Harmon, Scott J. "MASSPEC: multiagent system specification through policy exploration and checking." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/13635.

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Doctor of Philosophy<br>Department of Computing and Information Sciences<br>Scott A. DeLoach<br>Multiagent systems have been proposed as a way to create reliable, adaptable, and efficient systems. As these systems grow in complexity, configuration, tuning, and design of these systems can become as complex as the problems they claim to solve. As researchers in multiagent systems engineering, we must create the next generation of theories and tools to help tame this growing complexity and take some of the burden off the systems engineer. In this thesis, I propose guidance policies as a way to do
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Koga, Marcelo Li. "Relational transfer across reinforcement learning tasks via abstract policies." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-04112014-103827/.

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When designing intelligent agents that must solve sequential decision problems, often we do not have enough knowledge to build a complete model for the problems at hand. Reinforcement learning enables an agent to learn behavior by acquiring experience through trial-and-error interactions with the environment. However, knowledge is usually built from scratch and learning the optimal policy may take a long time. In this work, we improve the learning performance by exploring transfer learning; that is, the knowledge acquired in previous source tasks is used to accelerate learning in new target ta
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Sinclair, Cotter Ryan. "Intelligence-led policing: an examination of intelligence practices in the policing of organized crime in Ontario." Thesis, Keele University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510711.

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Darroch, Stephen Francis. "Intelligence-Led Policing in New Zealand." Thesis, Griffith University, 2009. http://hdl.handle.net/10072/367652.

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The innovation life cycle within police organisations is poorly understood. This is despite 30 years of calls for police reform and numerous efforts to introduce radical innovation. Difficulties are associated with all major reform movements, including community-oriented, problem-oriented and intelligence-led policing (ILP). Significant levels of resistance to change are routinely encountered. We need to know more about the processes and factors associated with strategic innovation and change within police organisations. This thesis analyses the emergence of ILP within the New Zealand Police (
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Shapovalenko, A. "Artificial intelligence." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33830.

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Technology of artificial intelligence will soon be able to help ensure the safety of your family, protecting it from the threat of international and domestic burglaries. In the USA the Department of Security also implements special software in its monitoring system, which scans phone calls and other messages. These programs can rapidly process large volumes of data and are even able to distinguish between a normal conversation from a potential threat. The old security system simply relied on sensors that reacted to a movement. Modern systems are directly related to artificial intelligence, whi
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Башлак, Ірина Анатоліївна, Ирина Анатольевна Башлак, Iryna Anatoliivna Bashlak, and I. Kurinnyy. "Artificial intelligence." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13517.

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Дядечко, Алла Миколаївна, Алла Николаевна Дядечко, Alla Mykolaivna Diadechko, and M. Chernyakova. "Artificial intelligence." Thesis, Вид-во СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/16890.

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Bekeniova. "ARTIFICIAL INTELLIGENCE." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33666.

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Vieitez, Diego Losada. "Controle de pol?ticas p?blicas por tribunais de contas e govtechs." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2018. http://tede2.pucrs.br/tede2/handle/tede/8330.

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Submitted by PPG Direito (ppgdir@pucrs.br) on 2018-10-23T19:51:22Z No. of bitstreams: 1 DIEGO_LOSADA_VIEITEZ_DES .pdf: 1066789 bytes, checksum: d26ca50a83b0764e19484e57a4098399 (MD5)<br>Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-10-25T11:53:53Z (GMT) No. of bitstreams: 1 DIEGO_LOSADA_VIEITEZ_DES .pdf: 1066789 bytes, checksum: d26ca50a83b0764e19484e57a4098399 (MD5)<br>Made available in DSpace on 2018-10-25T12:08:41Z (GMT). No. of bitstreams: 1 DIEGO_LOSADA_VIEITEZ_DES .pdf: 1066789 bytes, checksum: d26ca50a83b0764e19484e57a4098399 (MD5) Previous issue date:
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Yakushchenko, I. V., and L. M. Chuchilina. "The artificial intelligence." Thesis, Видавництво СумДУ, 2008. http://essuir.sumdu.edu.ua/handle/123456789/16003.

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Books on the topic "Artificial Intelligence in Policing"

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Vijayalakshmi, S., P. Durgadevi, Lija Jacob, Balamurugan Balusamy, and Parma Nand. Artificial Intelligence for Cyber Defense and Smart Policing. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003251781.

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Floridi, Luciano, ed. Ethics, Governance, and Policies in Artificial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81907-1.

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1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics, and Cybernetics. (10th : 1998 : Baden-Baden, Germany), eds. Advances in support systems research: Innovative management systems methodologies and decision support tools, support systems in cyberspace, modeling the effects of resource constraints on economic growth, evaluating transnational decision support systems, corporate management of risk, anticipation in the enterprise, predicative stabilization & control policies, marketing information systems (MKIS), marketing support systems (MKSS), business reengineering: process redesign and product innovation, intelligent management of change, sustainable development of regional entrepreneurship, information resources management. International Institute for Advanced Studies in Systems Research and Cybernetics, 1998.

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Ratcliffe, Jerry H. Intelligence-Led Policing. Routledge, 2016. http://dx.doi.org/10.4324/9781315717579.

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Carter, Jeremy G. Intelligence-led policing: A policing innovation. LFB Scholarly Publishing LLC, 2013.

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Harris, Michael C. Artificial intelligence. Marshall Cavendish Benchmark, 2011.

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Karam, P. Andrew. Artificial intelligence. Chelsea House, 2011.

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Thomas, Peggy. Artificial intelligence. Lucent Books, 2005.

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Bhargava, Cherry, and Pardeep Kumar Sharma. Artificial Intelligence. CRC Press, 2021. http://dx.doi.org/10.1201/9781003095910.

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Aggarwal, Charu C. Artificial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72357-6.

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Book chapters on the topic "Artificial Intelligence in Policing"

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Paulsen, Jens Erik. "Artificial Intelligence and Moral Responsibility in Law Enforcement." In Palgrave's Critical Policing Studies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68298-8_9.

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Wilmot McIntyre, Megan, and Reza Montasari. "The Dark Web and Digital Policing." In Artificial Intelligence and National Security. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06709-9_10.

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Macingwane, Apiwe, and Omowumni E. IsafIade. "Investigating Frequent Pattern-Based Models for Improving Community Policing in South Africa." In Artificial Intelligence Research. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49002-6_14.

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Nominacher, Maximilian, and Bertrand Peletier. "Artificial Intelligence Policies." In The Digital Factory for Knowledge. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119452706.ch8.

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Kathuria, Ronit, and Vinish Kathuria. "Predictive Policing—Are Ensemble Methods More Accurate Than Regression Methods?" In Artificial Intelligence and Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6448-9_16.

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Paaß, Gerhard, and Dirk Hecker. "Learning Optimal Policies." In Artificial Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-50605-5_8.

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Tanwar, Sushma, S. Vijayalakshmi, P. Durgadevi, and R. Girija. "Computer-based Intelligence and Security." In Artificial Intelligence for Cyber Defense and Smart Policing. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003251781-11.

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Moggridge, Ellie, and Reza Montasari. "A Critical Analysis of the Dark Web Challenges to Digital Policing." In Artificial Intelligence and National Security. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06709-9_8.

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Vijayalakshmi, S., P. Durgadevi, and A. S. Mohammed Shariff. "Big Data for Intelligence and Security." In Artificial Intelligence for Cyber Defense and Smart Policing. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003251781-5.

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Klingberg, Sarah. "Countering Terrorism: Digital Policing of Open Source Intelligence and Social Media Using Artificial Intelligence." In Artificial Intelligence and National Security. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06709-9_6.

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Conference papers on the topic "Artificial Intelligence in Policing"

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Avitia-Carlos, Patricia, Francisco Gárate Vergara, and José Antonio Ramírez Díaz. "EDUCATIONAL ARTIFICIAL INTELLIGENCE (AIED) ADOPTION POLICIES IN HIGHER EDUCATION INSTITUTIONS." In 19th International Technology, Education and Development Conference. IATED, 2025. https://doi.org/10.21125/inted.2025.1608.

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Muppidi, Akshay, and Martin Radfar. "Medical Vision Language Models as Policies for Robotic Surgery." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00094.

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Švancara, Jiří, David Zahrádka, Mrinalini Subramanian, Roman Barták, and Miroslav Kulich. "Generating Safe Policies for Multi-Agent Path Finding with Temporal Uncertainty." In 17th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013315400003890.

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Gross, Dennis, and Helge Spieker. "Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies." In 17th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013255500003890.

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Anning, Stephen, and Zachary Goldberg. "Assessing The Ethical Implications of Artificial Intelligence In Policing." In WebSci '22: 14th ACM Web Science Conference 2022. ACM, 2022. http://dx.doi.org/10.1145/3501247.3539506.

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Harris, Hannah, and Andrew Burke. "Artificial Intelligence, Policing and Ethics – a best practice model for AI enabled policing in Australia." In 2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW). IEEE, 2021. http://dx.doi.org/10.1109/edocw52865.2021.00032.

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Lunhol, Olha, and Pavlo Torhalo. "Artificial Intelligence in Law Enforcement: Current State and Development Prospects." In Socratic lectures 10. University of Lubljana Press, 2024. http://dx.doi.org/10.55295/psl.2024.ii12.

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Abstract: This article provides an analysis of the current state and future prospects of Artificial Intelligence (AI) implementation in law enforcement. As advancements in technology continue to reshape various sectors, the integration of AI in policing has become a focal point, revolutionizing traditional methods and offering new opportunities. The article begins by outlining the contemporary landscape of AI applications in law enforcement, encompassing predictive policing, facial recognition, data analysis, and crime pattern identification. The discussion delves into the benefits and challen
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Dutta, Sujan, Beibei Li, Daniel S. Nagin, and Ashiqur R. KhudaBukhsh. "A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/702.

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In this paper, we analyze the responses of three major US cable news networks to three seminal policing events in the US spanning a thirteen month period--the murder of George Floyd by police officer Derek Chauvin, the Capitol riot, Chauvin's conviction, and his sentencing. We cast the problem of aggregate stance mining as a natural language inference task and construct an active learning pipeline for robust textual entailment prediction. Via a substantial corpus of 34,710 news transcripts, our analyses reveal that the partisan divide in viewership of these three outlets reflects on the networ
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Sendrea, Mariana. "Artificial intelligence from an ethical perspective." In The 8th International Conference "Management Strategies and Policies in the Contemporary Economy". Academy of Economic Studies of Moldova, 2023. http://dx.doi.org/10.53486/icspm2023.34.

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Rolul eticii este unul major în toate aspectele vieții, iar, actualmente, etica devine crucială în crearea și aplicarea inteligenței artificiale (IA) în diverse sfere de activitate. Etica, prin esența sa, oferă un cadru moral și principii de conduită, care sunt imperios necesare pentru asigurarea faptului că inteligența artificială este creată și utilizată într-un mod responsabil de către dezvoltatori. Etica implică o responsabilitate colectivă (a dezvoltatorilor, utilizatorilor, statului, societatății) în tot ce ține de construirea și utilizarea inteligenței artificiale într-un mod care să ad
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Zhang, Ruicui. "The AI embedding predicts the legal risks of policing and its prevention." In 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI). IEEE, 2021. http://dx.doi.org/10.1109/cisai54367.2021.00129.

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Reports on the topic "Artificial Intelligence in Policing"

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Christie, Lorna. AI in policing and security. Parliamentary Office of Science and Technology, 2021. http://dx.doi.org/10.58248/hs27.

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Hwang, Tim, and Emily Weinstein. Decoupling in Strategic Technologies: From Satellites to Artificial Intelligence. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20200085.

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Geopolitical tensions between the United States and China have sparked an ongoing dialogue in Washington about the phenomenon of “decoupling”—the use of public policy tools to separate the multifaceted economic ties that connect the two powers. This issue brief provides a historical lens on the efficacy of one specific aspect of this broader decoupling phenomenon: using export controls and related trade policies to prevent a rival from acquiring the equipment and know-how to catch up to the United States in cutting-edge, strategically important technologies.
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Fedasiuk, Ryan, Jennifer Melot, and Ben Murphy. Harnessed Lightning: How the Chinese Military is Adopting Artificial Intelligence. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200089.

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This report examines nearly 350 artificial intelligence-related equipment contracts awarded by the People’s Liberation Army and state-owned defense enterprises in 2020 to assess how the Chinese military is adopting AI. The report identifies China’s key AI defense industry suppliers, highlights gaps in U.S. export control policies, and contextualizes the PLA’s AI investments within China’s broader strategy to compete militarily with the United States.
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Mehmood, Hamid, Surya Karthik Mukkavilli, Ingmar Weber, et al. Strategic Foresight to Applications of Artificial Intelligence to Achieve Water-related Sustainable Development Goals. United Nations University Institute for Water, Environment and Health, 2020. http://dx.doi.org/10.53328/lotc2968.

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The report recommends that: 1) Policymakers should conduct holistic assessments of social, economic, and cultural factors before AI adoption in the water sector, as prospective applications of AI are case- specific. It is also important to conduct baseline studies to measure the implementation capacity, return on investment, and impact of intervention. 2) To ensure positive development outcomes, policies regarding the use of AI for water-related challenges should be coupled with capacity and infrastructure development policies. Capacity development policies need to address the AI and Informati
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Müller, Gustavo, Maria Martins, Meltem Muftuler-Bac, et al. Experiences of Joined-Up Security, Defence and Intelligence Policies: Drawing Lessons from Multi-Layer Governance Systems. EsadeGeo. Center for Global Economy and Geopolitics, 2023. https://doi.org/10.56269/202302gm.

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This working paper examines cases of non-EU countries with complex governance structures that, like the European Union, have difficulties coordinating their joined-up policies in the areas of security, intelligence and defence. Its first part discusses the challenges of joined-up action for the European Union's external action, with a focus on coherence. The second part analyses cases of policy responses in Brazil, the United States and Turkey. It describes and discusses how these countries’ governments deal with coordination and implementation problems in the areas of migration management (Br
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Gehlhaus, Diana, Ron Hodge, Luke Koslosky, Kayla Goode, and Jonathan Rotner. The DOD’s Hidden Artificial Intelligence Workforce: Leveraging AI Talent at the U.S. Department of Defense. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20210013.

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This policy brief, authored in collaboration with the MITRE Corporation, provides a new perspective on the U.S. Department of Defense’s struggle to recruit and retain artificial intelligence talent. The authors find that the DOD already has a cadre of AI and related experts, but that this talent remains hidden. Better leveraging this talent could go a long way in meeting the DOD’s AI objectives. The authors argue that this can be done through policies that more effectively identify AI talent and assignment opportunities, processes that incentivize experimentation and changes in career paths, a
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Zwetsloot, Remco. Strengthening the U.S. AI Workforce. Center for Security and Emerging Technology, 2019. http://dx.doi.org/10.51593/20190003.

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A sustained talent shortage could undermine U.S. strength in artificial intelligence; current immigration policies would make it worse. Read our recommendations for bolstering U.S. leadership in AI research and practice.
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Harrison, Stephen. Wikipedia’s Governance Challenge: Policies and Guardrails for New Generative AI Technologies. Balsillie School of International Affairs, 2024. https://doi.org/10.51644/bcs002.

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The Wikipedia editing community is struggling with the emergence of new generative artificial intelligence (AI) technologies such as ChatGPT and other large language models (LLMs). Should the volunteer editors who create and maintain Wikipedia’s articles be permitted to use new generative AI tools, or should they be prohibited because of the high risk of introducing misinformation into the popular internet encyclopedia?
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Gehlhaus, Diana, Joanne Boisson, Sara Abdulla, Jacob Feldgoise, Luke Koslosky, and Dahlia Peterson. China’s AI Workforce. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20220003.

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U.S. policies on artificial intelligence education and the AI workforce must grow, cultivate, attract, and retain the world’s best and brightest. Given China’s role as a producer of AI talent, understanding its AI workforce could provide important insight. This report provides an analysis of the AI workforce demand in China using a novel dataset of 6.8 million job postings. It then outlines potential implications along with future reports in this series.
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Cavallo, Eduardo A., Bridget Hoffmann, and Bruna Dominici Cricci. Assessing the Distributional Implications of Transition Policies. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013139.

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Policies to transition to a low-carbon economy in Latin America and the Caribbean will have important distributional impacts. This article aims to assess how these policies affect different economic sectors and socioeconomic groups and to provide policy recommendations for increasing equity and inclusion. Many of the negative impacts that may exacerbate existing inequalities can be reduced or avoided through policies that compensate citizens for higher prices and worse employment opportunities. Furthermore, well-designed transition policies that have inclusiveness as an explicit goal can promo
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