Publications
Achieving a Data-Driven Risk Assessment Methodology for Ethical AI
The AI landscape demands a broad set of legal, ethical, and societal considerations to be accounted for in order to develop ethical AI (eAI) solutions which sustain human values and rights. Currently, a variety of guidelines and a handful of niche tools exist to account for and tackle individual challenges. However, it is also well […]
Regulating artificial‐intelligence applications to achieve the sustainable development goals
Artificial intelligence is producing a revolution with increasing impacts on the people, planet, and prosperity. This perspective illustrates some of the AI applications that can accelerate the achievement of the United Nations Sustainable Development Goals (SDGs) and highlights some of the considerations that could hinder the efforts towards them. In this context, we strongly support […]
Interpretable deep-learning models to help achieve the Sustainable Development Goals
Artificial intelligence (AI) algorithms have the potential to support the Sustainable Development Goals (SDGs) of the United Nations (UN). However, one of the main limitations of current AI technology is the lack of interpretability of these models, which gives rise to concerns about trust and ethical use. In particular, decisions made by black-box AI models may not be accepted […]
The European Union and the technology shift
Chapter 4 of The European Union and The Technology Shift is titled: AI in the EU: Ethical Guidelines as a Governance Tool. This chapter examines ethical guidelines as a tool for the governance of artificial intelligence (AI). Analysing the European development towards a trustworthy AI, with a focus on the High-Level Expert Group on AI appointed by […]
Human centred AI in the EU
The authors analyze several member states’ national AI strategies in order to determine the extent of which they have been influenced by European AI policy. Countries examined are Portugal, the Netherlands, Italy, the Czech Republic, Poland, Norway and the Nordic countries as a whole. The anthology’s starting point is the European Commission’s approach on “trustworthy […]
Assessing whether artificial intelligence is an enabler or an inhibitor of sustainability at indicator level
Since the early phase of the artificial-intelligence (AI) era expectations towards AI are high, with experts believing that AI paves the way for managing and handling various global challenges. However, the significant enabling and inhibiting influence of AI for sustainable development needs to be assessed carefully, given that the technology diffuses rapidly and affects millions […]
The role of artificial intelligence in achieving the Sustainable Development Goals
The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation process, we find that AI can enable the accomplishment of 134 targets across all the goals, but it may also inhibit 59 […]
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction
A variety of deep learning architectures have been developed for the goal of predictive modelling and knowledge extraction from medical records. Several models have placed strong emphasis on temporal attention mechanisms and decay factors as a means to include highly temporally relevant information regarding the recency of medical event occurrence while facilitating medical code-level interpretability. […]
Transparency in artificial intelligence
This conceptual paper addresses the issues of transparency as linked to artificial intelligence (AI) from socio-legal and computer scientific perspectives.The authors discuss and show the relevance of the fact that transparency expresses a conceptual metaphor of more general significance, linked to knowing, bringing positive connotations that may have normative effects to regulatory debates. They also […]
On the governance of artificial intelligence through ethics guidelines
This article uses a socio-legal perspective to analyze the use of ethics guidelines as a governance tool in the development and use of artificial intelligence (AI). This has become a central policy area in several large jurisdictions, including China and Japan, as well as the EU, focused on here. Particular emphasis in this article is […]
The socio-legal relevance of artificial intelligence
The report draws on socio-legal theory in relation to growing concerns over fairness, accountability and transparency of societally applied artificial intelligence (AI) and machine learning. The purpose is to contribute to a broad socio-legal orientation by describing legal and normative challenges posed by applied AI. To do so, the article first analyses a set of […]
Hållbar AI | Sustainable AI
This is an inventory of the state of knowledge of ethical, social, and legal challenges with artificial intelligence, carried out in a Vinnova-funded project led by the AI Sustainability Center. Based on a survey of reports and studies, a quantitative and bibliometric analysis, and area depths in health care, telecom, and digital platforms, three recommendations […]