Digital Europe

About: Digital Europe is a nonprofit organization based out in Brussels, Belgium. It is known for research contribution in the topics: Corporate governance & Information technology. The organization has 2 authors who have published 4 publications receiving 425 citations.

AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

Abstract: This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.

Providing smart metering data services through an EU market place

Abstract: This study describes the architecture of the Flexiciency project, looking at functional and non-functional requirements, for B2B interactions (mainly between distribution system operator and data requester) including the market place as a contact point and information technology (IT) innovative platform to be developed. A common architecture framework is defined and requirements are listed for data and service exchange at EU level, addressing data privacy and interoperability, among regulated and unregulated energy players.

AI4People - An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

Abstract: This article reports the findings of AI4People, an Atomium – EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations – to assess, to develop, to incentivise, and to support good AI – which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.

On Good AI Governance : 14 Priority Actions, a S.M.A.R.T. Model of Governance, and a Regulatory Toolbox

Abstract: AI4People's second year of activities has focused on applying - concretely, in real world scenarios and through appropriate governance - those ethical principles of AI announced by AI4People in 2018. The 2019 White Paper gives shape to - whilst establishing priorities and critical issues - 14 Priority Actions, a Model of S.M.A.R.T. Governance and a Regulatory Toolbox, to which governments and businesses alike can refer to - immediately and efficiently. To conceive the aforementioned, we examine current initiatives and debates on the governance of AI, and consequently provide: - A definition of the notion of governance and the principles that are at stake in this context - 14 Priority Actions that can be undertaken immediately, existing within three new groups of priority: (i) forms of engagement; (ii) no-regrets actions; and (iii) coordination mechanisms for the governance of AI - A S.M.A.R.T. Model of Governance, for both governments and businesses, adequate for tackling the normative challenges of AI, while being Scalable, Modular, Adaptable, Reflexive, and Technologically-savvy. We call for specific forms of governance that are neither bottom-up, nor top-down, but that are inbetween, and argue that neither co-regulatory models of AI governance - nor forms of self-regulation, nor its variants, such as 'monitored self-regulation' - are adequate - A Regulatory Toolbox, illustrating how the model of S.M.A.R.T. governance works.