Politics of bias in Artificial Intelligence
Bias has become one of the key issues in the debates about Artificial Intelligence (AI). Several well-publicized cases demonstrate problematic impacts of gender and racial biases embedded in sentencing algorithms, facial recognition systems and search engines. In our recent article, we analyse power and politics of framing bias in AI policy (Ulnicane and Aden 2023).…
Human and Animal Data in EBRAINS
Brain research generates and applies big, multidimensional and multifunctional data with different levels of sensitivity. The usability, quality, integrity, availability and security of these data are critical to excellent neuroscience research and innovation. To ensure these essential qualities, as well as adherence to the FAIR data principles, EBRAINS has established a comprehensive framework and structure for…
Ethics of AI – Cases and Options
Are you looking for examples and case studies of ethics of artificial intelligence (AI)? Would you like to understand how these ethical issues can be addressed? If so, our new book will interest you: “Ethics of Artificial Intelligence – Case Studies and Options for Addressing Ethical Challenges” by Bernd Carsten Stahl, Doris Shroeder & Rowena…
Increasingly big data & the pressing need for international data governance of neuroscience
Understanding the brain requires great effort and the scale of neuroscience research projects is increasing to scale. This means crossing borders in big international research initiatives, and as a result being subject to national and international laws, regulations and policies in both data collection and transfer. While neuroscience data transcends borders, data governance typically stays…
Neuroimages, artificial intelligence & re-identification of research subjects
Taking images of the brain using magnetic resonance imaging, or MRI for short, also captures the face. For a long time, techniques that remove facial features from neuroimages have allowed for open sharing of anonymised neuroimages. But new developments in artificial intelligence and machine learning have made it possible to re-create the removed facial features…
Beyond ‘good old CERN’: data and digital research infrastructures
In the popular imaginaries of Research Infrastructures, the ‘good old CERN’ is often seen as the prime example of European Research Infrastructures. Created in the post-World War II and emerging Cold War context of the 1950s, the European Organization of Nuclear Research (CERN) has developed in a highly-regarded success story of international cooperation, scientific discoveries…
Two PhD scholarships in ethics & RRI of research infrastructures, AI & data
Would you like to do a PhD in ethics and Responsible Research and Innovation of research infrastructure, Artificial Intelligence (AI) and data? Our Human Brain Project’s (HBP) Ethics Support team has two fantastic PhD scholarships available. The deadline for applications is 24 February and applications can be submitted here. The PhDs will be based at…
Global Harmonization of Neurodata Sharing, Standards and Governance
Damian Eke On 12-13 January 2020, representatives from the major brain initiatives came together for the International Brain Initiative’s (IBI) Data Standards and Sharing Roundtable, in Tokyo, Japan. This was an initial opportunity to understand the best approaches of harmonizing brain data standards, governance and sharing and was organized by IBI Data Standards and Sharing…
PhD opportunities in ethics of research infrastructures, AI & data
Would you like to join the HBP Ethics Support team to be a research assistant and do your PhD? We currently have two positions open. Application deadline is 9 January and you can read the advertisement and apply for these positions here. Successful applicants will join the interdisciplinary and international HBP team at the Centre…
Equitable AI in public health
Bernd Carsten Stahl The discussion of ethical aspects of artificial intelligence (AI) covers a broad set of issues and many different application areas. One frequently named application area where AI may have a revolutionary potential is that of healthcare. In addition to being able to improve specific medical processes, such as disease classification, there is…