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Evidence-backed problem

Deepfakes and the Geneva Conventions: Does Deceptive AI-Generated Misinformation Directed at an Enemy During Armed Conflict Violate International Humanitarian Law? A Critical Discussion

‘Deepfakes’ and other forms of digital communications disinformation are now on the virtual frontlines of many armed conflicts. Military commanders can potentially gain significant tactical advantages by misleading enemy forces, opposing governments, and civilian populations into believing X when Y is the true state of affairs. Distinct from military propaganda, deliberate deceptions and subterfuge have long been part of warfare. However, a powerful claim is advanced that deepfakes such as announcing surrender,…

Laws · Policy

Deepfakes and the Geneva Conventions: Does Deceptive AI-Generated Misinformation Directed at an Enemy During Armed Conflict Violate International Humanitarian Law? A Critical Discussion

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The role of over-reliance on AI in the negative consequences of student learning: The moderating effects of ethical concerns and institutional policies

This study investigates the impact of over-reliance on artificial intelligence (AI) in educational settings and its negative consequences on student learning, focusing on the moderating effects of ethical concerns and institutional policies. As students increasingly depend on AI tools, potential risks to critical thinking and engagement may arise. Understanding these dynamics is essential for educators and policymakers to develop strategies that mitigate the adverse effects of AI dependence. The research utilize…

Policy

Evidence-backed problem

Disinformation, AI and regulation in Ecuador’s 2025 presidential election

Introduction This research analyses Ecuadorians’ perceptions of the use of generative artificial intelligence (AI) in the dissemination of disinformation during the 2025 presidential elections. In light of the growing use of synthetic technologies in political campaigns, it examines the impact of AI on electoral integrity, public trust and the need for regulation. Methodology Mixed explanatory approach, based on two surveys ( n = 201 and n = 64), nine semi-structured interviews with experts after the elections,…

Policy

Evidence-backed problem

ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review

Abstract ChatGPT is another large language model (LLM) vastly available for the consumers on their devices but due to its performance and ability to converse effectively, it has gained a huge popularity amongst research as well as industrial community. Recently, many studies have been published to show the effectiveness, efficiency, integration, and sentiments of chatGPT and other LLMs. In contrast, this study focuses on the important aspects that are mostly overlooked, i.e. sustainability, privacy, digital divi…

Policy

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The impact of generative artificial intelligence on socioeconomic inequalities and policy making

Abstract Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems. In the information d…

Policy

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Justitia ex machina: The impact of an AI system on legal decision-making and discretionary authority

Governments increasingly use algorithms to inform or supplant decision-making. Artificial Intelligence systems in particular are considered objective, consistent and efficient decision-makers, but have also been shown to be fallible. Furthermore, the adoption of artificial intelligence (AI) in government is fraught with challenges which are only partly understood and rarely studied in practice. In this paper, we draw on science and technology studies and human computer interaction and report on a critical case s…

Policy

Evidence-backed gain

Human-Centered and Sustainable Artificial Intelligence in Industry 5.0: Challenges and Perspectives

The aim of this position paper is to identify a specific focus and the major challenges related to the human-centered artificial intelligence (HCAI) approach in the field of Industry 5.0 and the circular economy. A first step towards the opening of a line of research is necessary to aggregate multidisciplinary and interdisciplinary skills to promote and take into consideration the different aspects related to this topic, from the more technical and engineering aspects to the social ones and the repercussions in…

Policy

From pilots to decision systems: embedding generative AI into strategic decision-making through a socio-technical and governance lens

Generative AI (GAI) promises superior analytics and agility in strategy work, yet organisations struggle to move beyond pilots towards routinised decision inputs. This study investigates how GAI becomes embedded in strategic decision-making (SDM) through a qualitative single-case analysis of a global multi-brand group, based on 27 semi-structured executive interviews triangulated with internal documents and industry reports. Structured inductive coding yields a process model identifying enablers, leadership-driv…

Policy

From pilots to decision systems: embedding generative AI into strategic decision-making through a socio-technical and governance lens

Regulating AI-powered consumer contracts: risks, remedies, and global legal responses|Regolamentazione dei contratti dei consumatori basati sull’Intelligenza Artificiale: rischi, rimedi e risposte giuridiche globali

Artificial Intelligence (AI) has reshaped consumer contracts by enabling automated drafting, personalization, and enforcement at scale, with limited human intervention. While this increases efficiency, it also introduces risks, including bias, opacity, privacy violations, and power asymmetries. This article offers a comparative legal analysis of regulatory responses and case studies, focusing on the EU AI Act and contrasting it with approaches in the US, Canada, Brazil, and emerging frameworks in Asia-Pacific. T…

Policy

Regulating AI-powered consumer contracts: risks, remedies, and global legal responses|Regolamentazione dei contratti dei consumatori basati sull’Intelligenza Artificiale: rischi, rimedi e risposte giuridiche globali

The EU's AI act: A framework for collaborative governance

In February 2024, the Council and the European Parliament (EP) agreed on the Artificial Intelligence Regulation (usually known as AI Act, AIA) .2 This regulation evaluates AI applications to ensure they are used ethically and responsibly, promoting the development of safe and lawful AI across the EU's single market. It establishes a comprehensive legal framework with a risk-based approach, aiming to achieve a balance between protecting the health, safety, and fundamental rights of European citizens and ensuring…

Policy

The EU's AI act: A framework for collaborative governance

Advances in artificial intelligence: a review for the creative industries

Artificial intelligence (AI) has undergone transformative advances since 2022, particularly through generative AI, large language models (LLMs), and diffusion models, fundamentally reshaping the creative industries. However, existing reviews have not comprehensively addressed these recent breakthroughs and their integrated impact across the creative production pipeline. This paper addresses this gap by providing a systematic review of AI technologies that have emerged or matured since our 2022 review, examining…

Policy

Artificial intelligence and its ‘slow violence’ to human rights

Abstract Human rights concerns in relation to the impacts brought forth by artificial intelligence (‘AI’) have revolved around examining how it affects specific rights, such as the right to privacy, non-discrimination and freedom of expression. However, this article argues that the effects go deeper, potentially challenging the foundational assumptions of key concepts and normative justifications of the human rights framework. To unpack this, the article applies the lens of ‘slow violence’, a term borrowed from…

Policy

Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective

This paper conducts a systematic review and interdisciplinary analysis of the ethical challenges of generative AI technologies (N = 37), highlighting significant concerns such as privacy, data protection, copyright infringement, misinformation, biases, and societal inequalities. The ability of generative AI to produce convincing deepfakes and synthetic media, which threaten the foundations of truth, trust, and democratic values, exacerbates these problems. The paper combines perspectives from various disciplines…

Policy

AI-driven corporate governance: a regulatory perspective

The use of AI-driven or AI-assisted systems in corporate compliance is a novel topic in the business and management literature, only marginally considered by legal academia. While some scholarly pieces have explored the use of artificial intelligence (AI) systems to support compliance in the financial sector (eg, for anti-money laundering purposes), the legal implications of deploying AI systems to fulfil corporate compliance tasks has not yet received the attention it deserves. This article approaches the use o…

Policy

AI-driven corporate governance: a regulatory perspective

Two peas in two pods? Comparing Sweden and Singapore’s lifelong learning policy and practice response to AI skills demands

Singapore and Sweden invest substantial resources in upskilling their citizens for a digital transition fuelled by advanced technologies such as artificial intelligence (AI). There, the digital transition faces skills shortages and mismatches, leading to increased pressure on lifelong learning (LLL) systems to address these shortages. In this comparative case study, we examine how respective LLL policies and practices address the demands for basic and advanced AI skills. Comparisons are discussed on three levels…

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