Mariarosaria Taddeo
Datos Biográficos
| ID | 297955 |
|---|---|
| NOMBRE | Mariarosaria Taddeo |
| NOMBRES | Mariarosaria |
| APELLIDO | Taddeo |
| FIRMA | TADDEO M |
| AFILIACIONES | Turing Institute |
| ORCID | 0000-0002-1181-649X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 49 |
| TOTAL DE CITAS | 131 |
| TOTAL COMO AUTOR | 48 |
| TOTAL COMO EDITOR | 1 |
| PRIMER AÑO DE PUBLICACIÓN | 2011 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
The Artificial in “Artificial Intelligence”
Ethical, legal, and social challenges of data economy in defence the case of battlefield data
Battlefield data have become a critical asset in contemporary defence. Yet there is a gap in the relevant literature, whilst it addresses various aspects of defence data management—including cybersecurity, interoperability, and decision-making support—it overlooks how these data should be collected, curated, and accessed to enhance the responsible development of AI-enabled defence capabilities. This article addresses this gap first by reviewing e…
Seven barriers to the ethical governance of artificial intelligence in defence
The ethical governance of AI in defence confronts a paradox: principles proliferate while implementation falters. This systematic review of 1085 publications exposes why frameworks flounder where ethical governance matters most. We identify seven barriers—governance and structural, conceptual, strategic, operational, relational and cultural, technical and data, and resource constraints—that operate as an interconnected system. Governance and stru…
A Framework for Evaluating Global AI Governance Initiatives
Efforts to develop global governance initiatives for artificial intelligence (AI) have increased significantly in recent years. However, these initiatives have generally had a limited impact due to their vagueness, lack of authority and repetition. Several factors contribute to the difficulties in establishing effective global AI governance mechanisms, including geopolitical tensions, institutional gridlock, and the general‐purpose and sociotechn…
Ethical governance of artificial intelligence for defence
The rapid diffusion of artificial intelligence (AI) technologies in the defence domain raises challenges for the ethical governance of these systems. A recent shift from the what to the how of AI ethics sees a nascent body of literature published by defence organisations focussed on guidance to implement AI ethics principles. These efforts have neglected a crucial intermediate step between principles and guidance concerning the elicitation of eth…
The case for a broader approach to AI assurance
Artificial intelligence (AI) assurance is an umbrella term describing many approaches—such as impact assessment, audit, and certification procedures—used to provide evidence that an AI system is legal, ethical, and technically robust. AI assurance approaches largely focus on two overlapping categories of harms: deployment harms that emerge at, or after, the point of use, and individual harms that directly impact a person as an individual. Current…
Recommender systems as commercial speech
Accountability in artificial intelligence
Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, and measures to which accountability in AI can refer. We address this lack of clarity by defining accountability in terms of answerability, identifying three conditions of possibility (authority recognitio…
Smart cities
This paper considers a host of definitions and labels attached to the concept of smart cities to identify four dimensions that ground a review of ethical concerns emerging from the current debate. These are: (1) network infrastructure, with the corresponding concerns of control, surveillance, and data privacy and ownership; (2) post-political governance, embodied in the tensions between public and private decision-making and cities as post-politi…
Open source intelligence and AI
Today, open source intelligence (OSINT), i.e., information derived from publicly available sources, makes up between 80 and 90 percent of all intelligence activities carried out by Law Enforcement Agencies (LEAs) and intelligence services in the West. Developments in data mining, machine learning, visual forensics and, most importantly, the growing computing power available for commercial use, have enabled OSINT practitioners to speed up, and som…
Taking AI risks seriously
The EU Artificial Intelligence Act (AIA) defines four risk categories: unacceptable, high, limited, and minimal. However, as these categories statically depend on broad fields of application of AI, the risk magnitude may be wrongly estimated, and the AIA may not be enforced effectively. This problem is particularly challenging when it comes to regulating general-purpose AI (GPAI), which has versatile and often unpredictable applications. Recent a…
Artificial intelligence in support of the circular economy
The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler for CE. It can aid in designing robust and sustainable products, facilitate new circular business mo…
Autonomous weapon systems and jus ad bellum
In this article, we focus on the scholarly and policy debate on autonomous weapon systems (AWS) and particularly on the objections to the use of these weapons which rest on jus ad bellum principles of proportionality and last resort. Both objections rest on the idea that AWS may increase the incidence of war by reducing the costs for going to war (proportionality) or by providing a propagandistic value (last resort). We argue that whilst these ob…
From AI Ethics Principles to Practices
This article provides a methodology for the interpretation of AI ethics principles to specify ethical criteria for the development and deployment of AI systems in high-risk domains. The methodology consists of a three-step process deployed by an independent, multi-stakeholder ethics board to: (1) identify the appropriate level of abstraction for modelling the AI lifecycle; (2) interpret prescribed principles to extract specific requirements to be…
Global AI governance
Recent advances in artificial intelligence (AI), combined with a proliferation in use, have led to a newfound emphasis on strengthening the global governance of AI. In this article, we assess the prospects for stronger global AI governance and consider potential pathways forward. We map the nascent landscape of international regimes focused on AI governance and conclude that a governance deficit remains due to the inadequacy of existing initiativ…
Artificial intelligence regulation in the United Kingdom
the United Kingdom (UK) government published its AI Regulation White Paper, a "proportionate and pro-innovation regulatory framework" for AI designed to support innovation, identify and address risks, and establish the UK as an "AI superpower".In this article, we assess whether the approach outlined in this policy document is appropriate for meeting the country's stated ambitions.We argue that the proposed continuation of a sector-led approach, w…
The AI gambit
In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible…
Governing artificial intelligence in China and the European Union
In this article, we compare the artificial intelligence strategies of China and the European Union, assessing the key similarities and differences regarding what the high-level aims of each governance strategy are, how the development and use of AI is promoted in the public and private sectors, and whom these policies are meant to benefit. We characterize China’s strategy by its primary focus on fostering innovation and a more recent emphasis on …
A Comparative Analysis of the Definitions of Autonomous Weapons Systems
In this report we focus on the definition of autonomous weapons systems (AWS). We provide a comparative analysis of existing official definitions of AWS as provided by States and international organisations, like ICRC and NATO. The analysis highlights that the definitions draw focus on different aspects of AWS and hence lead to different approaches to address the ethical and legal problems of these weapons systems. This approach is detrimental bo…
The ethics of algorithms
Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016 (Mittelstadt et al. Big Data Soc 3(2), 2016). The goals are to contribute to the debate on the identific…
Accepting Moral Responsibility for the Actions of Autonomous Weapons Systems—a Moral Gambit
In this article, we focus on the attribution of moral responsibility for the actions of autonomous weapons systems (AWS). To do so, we suggest that the responsibility gap can be closed if human agents can take meaningful moral responsibility for the actions of AWS. This is a moral responsibility attributed to individuals in a justified and fair way and which is accepted by individuals as an assessment of their own moral character. We argue that, …
The epistemological foundations of data science
The modern abundance and prominence of data have led to the development of “data science” as a new field of enquiry, along with a body of epistemological reflections upon its foundations, methods, and consequences. This article provides a systematic analysis and critical review of significant open problems and debates in the epistemology of data science. We propose a partition of the epistemology of data science into the following five domains: (…
Safeguarding European values with digital sovereignty
The European Union (EU) has, with increasing frequency, outlined an intention to strengthen its "digital sovereignty" as a basis for safeguarding European values in the digital age. Yet, uncertainty remains as to how the term should be defined, undermining efforts to assess the success of the EU's digital sovereignty agenda. The task of this paper is to reduce this uncertainty by i) analysing how digital sovereignty has been discussed by EU insti…
Achieving a ‘Good AI Society’
Over the past few years, there has been a proliferation of artificial intelligence (AI) strategies, released by governments around the world, that seek to maximise the benefits of AI and minimise potential harms. This article provides a comparative analysis of the European Union (EU) and the United States’ (US) AI strategies and considers (i) the visions of a ‘Good AI Society’ that are forwarded in key policy documents and their opportunity costs…
Ethics-Based Auditing of Automated Decision-Making Systems
Important decisions that impact humans lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making systems (ADMS) can improve efficiency and enable new solutions. However, these benefits are coupled with ethical challenges. For example, ADMS may produce discriminatory outcomes, violate individual privacy, and undermine human self-determination. New governance mechanisms…
The ethics of algorithms
In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between …
Recommender systems and their ethical challenges
This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders-as opposed to just the receivers of a recomme…
Governing artificial intelligence in China and the European Union
In this article, we compare the artificial intelligence strategies of China and the European Union, assessing the key similarities and differences regarding what the high-level aims of each governance strategy are, how the development and use of AI is promoted in the public and private sectors, and whom these policies are meant to benefit. We characterize China’s strategy by its primary focus on fostering innovation and a more recent emphasis on …
Ethical aspects of multi-stakeholder recommendation systems
In this article we analyze the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: Who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm u…
Global AI governance
Recent advances in artificial intelligence (AI), combined with a proliferation in use, have led to a newfound emphasis on strengthening the global governance of AI. In this article, we assess the prospects for stronger global AI governance and consider potential pathways forward. We map the nascent landscape of international regimes focused on AI governance and conclude that a governance deficit remains due to the inadequacy of existing initiativ…
Recommender Systems and their Ethical Challenges
This article presents the first, systematic analysis of the ethical challenges posed by recommender systems. Through a literature review, the article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders — as opposed to just the receivers of a reco…
Analyzing Peer-to-Peer Technology Using Information Ethics
Original article can be found at : http://www.informaworld.com/ Copyright Taylor & Francis [Full text of this article is not available in the UHRA]
Information Warfare
Internet Neutrality
Cyber Security and Individual Rights, Striking the Right Balance
The Struggle Between Liberties and Authorities in the Information Age
Information Societies, Ethical Enquiries
What is data ethics?
This theme issue has the founding ambition of landscaping data ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing and use), algorithms (including artificial intelligence, artificial agents, machine learning and robots) and corresponding practices (including responsible innovation, programming, hacking and professional codes), in …
The ethics of algorithms
In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between …
The Responsibilities of Online Service Providers
How AI can be a force for good
An ethical framework will help to harness the potential of AI while keeping humans in control
The Limits of Deterrence Theory in Cyberspace
In this article, I analyse deterrence theory and argue that its applicability to cyberspace is limited and that these limits are not trivial. They are the consequence of fundamental differences between deterrence theory and the nature of cyber conflicts and cyberspace. The goals of this analysis are to identify the limits of deterrence theory in cyberspace, clear the ground of inadequate approaches to cyber deterrence, and define the conceptual s…
Deterrence and Norms to Foster Stability in Cyberspace
Deterrence in cyberspace is possible. But it requires an effort to develop a new domain-specific, conceptual, normative, and strategic framework. To be successful, cyber deterrence needs to shift from threatening to prevailing. I argue that by itself, deterrence is insufficient to ensure stability of cyberspace. An international regime of norms regulating state behaviour in cyberspace is necessary to complement cyber deterrence strategies and fos…
Recommender Systems and their Ethical Challenges
This article presents the first, systematic analysis of the ethical challenges posed by recommender systems. Through a literature review, the article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders — as opposed to just the receivers of a reco…
Ethical guidelines for Covid-19 tracing apps
The Ethics of Digital Well-Being
This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that is good for a human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The r…
How to Design AI for Social Good
The idea of artificial intelligence for social good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies…
The ethics of AI in health care
Recommender systems and their ethical challenges
This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders-as opposed to just the receivers of a recomme…
Safeguarding European values with digital sovereignty
The European Union (EU) has, with increasing frequency, outlined an intention to strengthen its "digital sovereignty" as a basis for safeguarding European values in the digital age. Yet, uncertainty remains as to how the term should be defined, undermining efforts to assess the success of the EU's digital sovereignty agenda. The task of this paper is to reduce this uncertainty by i) analysing how digital sovereignty has been discussed by EU insti…
Achieving a ‘Good AI Society’
Over the past few years, there has been a proliferation of artificial intelligence (AI) strategies, released by governments around the world, that seek to maximise the benefits of AI and minimise potential harms. This article provides a comparative analysis of the European Union (EU) and the United States’ (US) AI strategies and considers (i) the visions of a ‘Good AI Society’ that are forwarded in key policy documents and their opportunity costs…
Ethics-Based Auditing of Automated Decision-Making Systems
Important decisions that impact humans lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making systems (ADMS) can improve efficiency and enable new solutions. However, these benefits are coupled with ethical challenges. For example, ADMS may produce discriminatory outcomes, violate individual privacy, and undermine human self-determination. New governance mechanisms…
The Chinese approach to artificial intelligence
In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence (AI), entitled ‘New Generation Artificial Intelligence Development Plan’ (新一代人工智能发展规划). This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan (ca. 150 billion dollars) industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have a…
Some Ethical, Legal, and Social Dimensions of Pandemic Response Technology
Shuangge Wen (SW): The test and trace systems in operation in many countries are a key strategy to lower the reproduction rate and control the virus, with technology enabling measures such as tracing of close contacts, notifying local alerts, and venue check-ins using QR codes. From your technological expertise, how do you see these systems working, and do you see any alternatives which should be explored
Ethical Principles for Artificial Intelligence in National Defence
Defence agencies across the globe identify artificial intelligence (AI) as a key technology to maintain an edge over adversaries. As a result, efforts to develop or acquire AI capabilities for defence are growing on a global scale. Unfortunately, they remain unmatched by efforts to define ethical frameworks to guide the use of AI in the defence domain. This article provides one such framework. It identifies five principles—justified and overridab…
Artificial intelligence and the climate emergency
Political science (27 obras) · Computer Science (26 obras) · Ethics and Social Impacts of AI (26 obras) · Law (19 obras) · Sociology (17 obras) · Engineering (14 obras) · Epistemology (14 obras) · Engineering ethics (12 obras) · Philosophy of science (12 obras) · Corporate governance (10 obras)