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61. The impact of artificial intelligence on the nature and quality of jobs

Author:
Laura Nurski and Mia Hoffmann
Publication Date:
07-2022
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
Artificial intelligence (AI), like any workplace technology, changes the division of labour in an organisation and the resulting design of jobs. When used as an automation technology, AI changes the bundle of tasks that make up an occupation. In this case, implications for job quality depend on the (re)composition of those tasks. When AI automates management tasks, known as algorithmic management, the consequences extend into workers’ control over their work, with impacts on their autonomy, skill use and workload. We identify four use cases of algorithmic management that impact the design and quality of jobs: algorithmic work-method instructions; algorithmic scheduling of shifts and tasks; algorithmic surveillance, evaluation and discipline; and algorithmic coordination across tasks. Reviewing the existing empirical evidence on automation and algorithmic management shows significant impact on job quality across a wide range of jobs and employment settings. While each AI use case has its own particular effects on job demands and resources, the effects tend to be more negative for the more prescriptive (as opposed to supportive) use cases. These changes in job design demonstrably affect the social and physical environment of work and put pressure on contractual employment conditions as well. As technology development is a product of power in organisations, it replicates existing power dynamics in society. Consequently, disadvantaged groups suffer more of the negative consequences of AI, risking further job-quality polarisation across socioeconomic groups. Meaningful worker participation in the adoption of workplace AI is critical to mitigate the potentially negative effects of AI adoption on workers, and can help achieve fair and transparent AI systems with human oversight. Policymakers should strengthen the role of social partners in the adoption of AI technology to protect workers’ bargaining power.
Topic:
Science and Technology, Economy, Artificial Intelligence, Inclusion, and Work
Political Geography:
Global Focus

62. Securing AI-based Security Systems

Author:
Sandra Scott-Hayward
Publication Date:
06-2022
Content Type:
Working Paper
Institution:
The Geneva Centre for Security Policy
Abstract:
Fundamental weaknesses of AI include brittleness, embedded bias, catastrophic forgetting and lack of explainability. Although research is under way to address some of these issues, the adoption of AI techniques and models in security systems exposes potentially critical security systems to weaknesses/vulnerabilities such as these. Adversarial training is one strongly recommended approach to increase the robustness (i.e. reduce the brittleness) of the AI model. In this approach, the training dataset is extended to include adversarial examples representative of potential attacks on the system. However, the implementation of adversarial training is currently ad hoc. Given the evidence of AI weaknesses, the omission of adversarial training and similar hardening techniques for AI-based security systems is unacceptable. Standardised testing and evaluation of AI-based security systems is recommended. From a governance perspective, evidence of adversarial robustness evaluation should be a minimum requirement for the acceptance of an AI-based security system. The production of strong adversarial samples does not account for “black swan” events, i.e. random and unexpected events that have an extreme impact. Given that security systems tend to be designed to detect “old” or “known” types of attack, ways need to be found to manage the occurrence of “new” attacks.
Topic:
Security, Science and Technology, Artificial Intelligence, and Emerging Technology
Political Geography:
Global Focus

63. A Two-Track Approach for Trustworthy AI

Author:
Michel Girard
Publication Date:
06-2022
Content Type:
Policy Brief
Institution:
Centre for International Governance Innovation (CIGI)
Abstract:
Standards and certification programs are developed to support new trustworthy artificial intelligence (AI) legislation. Recent developments point to the emergence of a two-track approach. One track would focus on the certification of AI applications embedded in tangible products using objective criteria through established conformity assessment bodies. Regarding AI interacting with humans and used in delivering services, there is a need to create a new track. This track is needed to verify and validate compliance against subjective criteria, values and ethics, seen by many as an integral part of what constitutes trustworthy AI. The practice of “assurance as a service” can be adapted to verify and validate conformance to upcoming trustworthy AI standards. This policy brief provides an update on key legislative and policy developments framing trustworthy AI. It sketches possible approaches for the certification, verification and validation of AI embedded in products and in services and looks at recent proposals regarding the creation of a new chartered profession to deliver assurance services to achieve trustworthy AI.
Topic:
Science and Technology, Regulation, Artificial Intelligence, Emerging Technology, and Trust
Political Geography:
Global Focus

64. Unmanned Aerial Vehicle - a Lethal Weapon of Tomorrow for Terrorists

Author:
Aleksander Olech
Publication Date:
03-2022
Content Type:
Journal Article
Journal:
Nowa Polityka Wschodnia
Institution:
Faculty of Political Science and International Studies, Nicolaus Copernicus University in Toruń
Abstract:
Terrorism has been used as a form of combat for centuries. Over the years, the tools used by terrorists have evolved. While attacks with cold weapons still take place, nowadays terrorists also use explosives, machine guns, guided missiles and increasingly often drones. The present growth of the arms market has led to terrorist groups being heavily militarized, as they can successfully acquire modern weapons and subsequently use them in their attacks. This state of affairs has directly affected the security of states and societies, and subsequently became a principal subject of discussion on international security forums. Contemporary global terrorist threats also harness artificial intelligence that supports weaponized robots, missiles, as well as clusters of killer drones. This narrative arose a few years ago, indicating that terrorists may have a vastly greater array of options at their disposal because they may cooperate with some states that would back them up. The chance for terrorist organisations to gain access to artificial intelligence technologies only increased due to the global competition surrounding it. Due to this potential spreading, terrorists will have a chance to operate weapons supported by AI. These events then merge into a deeply concerning scenario which conceivably may have to be confronted. The threat of terrorist organisations possessing and using swarms of drones does not seem to be very distant.
Topic:
Security, Science and Technology, Terrorism, Weapons, Drones, and Artificial Intelligence
Political Geography:
Global Focus

65. Commitment to Control Weaponised Artificial Intelligence: A Step Forward for the OSCE and European Security

Author:
Anna Nadibaidze
Publication Date:
01-2022
Content Type:
Policy Brief
Institution:
The Geneva Centre for Security Policy
Abstract:
Recent technological and political developments in OSCE participating States suggest a strong interest in pursuing, testing and using weaponised AI and weapons systems with increasingly autonomous features controlled by algorithms. In May 2021 Defence Minister Sergei Shoigu announced that Russia had begun producing combat robots “capable of fighting on their own”,1 while the French Army is planning to introduce robotic systems by 2040.2 The United Kingdom (UK) government has stated its objective of achieving “a leading role in critical and emerging technologies”3 and has established a Defence Artificial Intelligence and Autonomy Unit to better understand them.4 In the United States, the National Security Commission on Artificial Intelligence has urged the government “not [to] be a witness to the AI revolution in military affairs”.5 The global discussion about autonomous weapons systems is often framed in a futuristic way and focuses on lethal autonomous weapons systems (LAWS) – colloquially called “killer robots” – or the “AI arms race”. But weaponised AI is already a reality of European security. Thus far participating States have been reluctant to utilise the OSCE platform to address the risks caused by the increasing autonomy of weapons systems. Building on this issue, this essay intends to address the following questions: (1) how does the lack of regulation of weaponised AI affect security and stability in Europe? and (2) what role can the OSCE play in mitigating the risks related to weaponised AI?
Topic:
Science and Technology, Military Strategy, Artificial Intelligence, and Emerging Technology
Political Geography:
Global Focus

66. The State of AI Policy: The Democratic Values Perspective

Author:
Merve Hickok and Marc Rotenberg
Publication Date:
03-2022
Content Type:
Journal Article
Journal:
Turkish Policy Quarterly (TPQ)
Institution:
Transatlantic Policy Quarterly (TPQ)
Abstract:
In a world where data means power, vast amounts of data are collected every day by both private companies and government agencies, which then use this data to fuel complex systems for automated decision-making now broadly described as “Artificial Intelligence.” Activities managed with these AI systems range from policing to military, to access to public services and resources such as benefits, education, and employment. The expected benefits from having national talent, capacity, and capabilities to develop and deploy these systems also drive a lot of national governments to prioritize AI and digital policies. A crucial question for policymakers is how to reap the benefits while reducing the negative impacts of these sociotechnical systems on society.
Topic:
Science and Technology, Artificial Intelligence, and Data
Political Geography:
Global Focus

67. Ethics of AI and Democracy: UNESCO Recommendation's Insights

Author:
Gabriela Ramos
Publication Date:
03-2022
Content Type:
Journal Article
Journal:
Turkish Policy Quarterly (TPQ)
Institution:
Transatlantic Policy Quarterly (TPQ)
Abstract:
This article focuses on the impact of Artificial Intelligence (AI) on democracy. It provides an overview of the various ways in which the AI technologies affect the democratic values and processes and the social and political behaviour of citizens. It notes that the use of AI, and its potential for abuse by some governments, as well as by big private corporations, poses a real threat to the institutions, processes, and norms of rights-based democracies. As governments worldwide mull over their AI strategies and policies that would protect citizens against AI-powered dangers, UNESCO announced a remarkable consensus agreement among 193 member states creating the first-ever global standard on the ethics of AI that could serve as a blueprint for national AI legislation and a global AI ethics benchmark.
Topic:
Science and Technology, United Nations, Ethics, and Artificial Intelligence
Political Geography:
Global Focus

68. AI Challenging Sovereignty and Democracy

Author:
Paul Timmers
Publication Date:
03-2022
Content Type:
Journal Article
Journal:
Turkish Policy Quarterly (TPQ)
Institution:
Transatlantic Policy Quarterly (TPQ)
Abstract:
AI is wonderful. AI is scary. AI is the path to paradise. AI is the path to hell. What do we make of these contradictory images when, in a world of AI, we seek to both protect sovereignty and respect democratic values? Neither a techno-utopian nor a dystopian view of AI is helpful. The direction of travel must be global guidance and national or regional AI law that stresses end-to-end accountability and AI transparency, while recognizing practical and fundamental limits. We also need a deeper understanding of tensions between AI and sovereignty and democratic values, in order to address them in the interplay of the social construction of sovereignty and democracy and the technological construction of AI
Topic:
Science and Technology, Sovereignty, Democracy, and Artificial Intelligence
Political Geography:
Global Focus

69. Governments as Regulators and Consumers of Ethical AI

Author:
Gabby Bush and Jeannine Paterson
Publication Date:
03-2022
Content Type:
Journal Article
Journal:
Turkish Policy Quarterly (TPQ)
Institution:
Transatlantic Policy Quarterly (TPQ)
Abstract:
Algorithmic Decision-Making (ADM) and Digital Technologies have created complex and multifaceted challenges for governments and the delivery of public services. Governments must operate simultaneously as the regulator and as a consumer, while maintaining public trust. The roll out of ADM systems has provided significant failures in public policy. For example, the Federal Government of Australia and the New South Wales State Government both deploying systems with significant flaws which led to serious outcomes for both welfare recipients and governments just in the last 10 years. Solutions to confront the failure of ADM systems can be addressed more effectively at a procurement and contract level as well as through the accountability and understanding within the public service. In order to ensure the fair use of digital technologies, governments must be willing to scrutinize their own purchase of technology, ideally through the lens of AI ethical frameworks, and address their own governance and procurement policies, thereby fulfilling their responsibility as service providers to citizens.
Topic:
Government, Science and Technology, Regulation, Ethics, and Artificial Intelligence
Political Geography:
Global Focus

70. Democratizing AI

Author:
Mark Findlay
Publication Date:
03-2022
Content Type:
Journal Article
Journal:
Turkish Policy Quarterly (TPQ)
Institution:
Transatlantic Policy Quarterly (TPQ)
Abstract:
How can we locate the position of Artificial Intelligence when it comes to democracy? Rather than trying to put a framework built on an agent-based or globalization contexed approach, this paper aims to evaluate the Artificial Intelligence from a contextual perspective. While doing so an attempt on understanding how it can function within a community gains a considerable foothold. To achieve a success in such an attempt, two of the most important democratic discourses that resonate on this ground emerge critical: rule of law and the sustainable development goals. Especially, the recent Covid pandemic gave a considerable case study through which we can completely comprehend both of the matters of how AI can be used in surveillance and how can we be sure that it can be democratized.
Topic:
Globalization, Science and Technology, Democracy, and Artificial Intelligence
Political Geography:
Global Focus