Linking the semantic web to ODR: the Ontomedia project

Despite the conceptual vagueness of definitions, both Web 2.0 and Web 3.0 are opening up for ever-growing communities of users new forms of online interaction and customization of information. In this article we explore some of the critical features of Web 2.0 and 3.0 developments applied to different conflict domains, and then present some of the basic components of the Ontomedia platform. The Ontomedia project aims to provide mediation experts and users with a semantically enriched mediation platform where they are able to interact, mediate, and retrieve useful information on related cases in an effective and friendly way

Looking beyond the hype : applied AI and machine learning in translational medicine

Big data problems are becoming more prevalent for laboratory scientists who look to make clinical impact. A large part of this is due to increased computing power, in parallel with new technologies for high quality data generation. Both new and old techniques of artificial intelligence (AI) and machine learning (ML) can now help increase the success of translational studies in three areas: drug discovery, imaging, and genomic medicine. However, ML technologies do not come without their limitations and shortcomings. Current technical limitations and other limitations including governance, reproducibility, and interpretation will be discussed in this article. Overcoming these limitations will enable ML methods to be more powerful for discovery and reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale

Linking the semantic web to ODR: the Ontomedia project

Despite the conceptual vagueness of definitions, both Web 2.0 and Web 3.0 are opening up for ever-growing communities of users new forms of online interaction and customization of information. In this article we explore some of the critical features of Web 2.0 and 3.0 developments applied to different conflict domains, and then present some of the basic components of the Ontomedia platform. The Ontomedia project aims to provide mediation experts and users with a semantically enriched mediation platform where they are able to interact, mediate, and retrieve useful information on related cases in an effective and friendly way

Regulating artificial intelligence : a technology regulator’s perspective

Artificial Intelligence (AI) and the regulation thereof is a topic that is increasingly being discussed and various proposals have been made in literature for defining regulatory bodies and/or related regulation. In this paper, we present a pragmatic approach for providing a technology assurance regulatory framework. To the best of our knowledge, this work presents the first national AI technology assurance legal and regulatory framework that has been implemented by a national authority empowered through law to do so. Aiming to both provide assurances where required and not stifling innovation yet supporting it, it is proposed that such regulation is not to be mandated for all AI-based systems but rather should provide a voluntary framework and only be mandated in sectors and activities as deemed necessary by other authorities or laws for regulated and critical areas.peer-reviewe