Editorial: A Look at the Digitalisation of Education in the Context of Ethical, Legal, and Social Implications

In this article digital transformation in education and the associated ethical, legal, and social implications (ELSI) are considered. In order to make use of the innovation potential of mixed reality and artificial intelligence in vocational education and training, it is argued in this article that a constructive approach should be used for the ethical, legal, and social implications. To this end, after the introduction and a brief presentation of the potential of digital technologies, selected ethical, legal, and social implications are discussed in order to provide starting points and recommendations for a reflective approach to the ELSI aspects. Keywords: Digital transformation, Mixed Reality (MR), Artificial Intelligence (AI), Learning An-alytics (LA), Human-Technology Interaction (HTI), ELSIABSTRACT: In this article digital transformation in education and the associated ethical, legal, and social implications (ELSI) are considered. In order to make use of the innovation potential of mixed reality and artificial intelligence in vocational education and training, it is argued in this article that a constructive approach should be used for the ethical, legal, and social implications. To this end, after the introduction and a brief presentation of the potential of digital technologies, selected ethical, legal, and social implications are discussed in order to provide starting points and recommendations for a reflective approach to the ELSI aspects.Keywords: Digital transformation, Mixed Reality (MR), Artificial Intelligence (AI), Learning An-alytics (LA), Human-Technology Interaction (HTI), ELS

Consider ethical and social challenges in smart grid research

Artificial Intelligence and Machine Learning are increasingly seen as key technologies for building more decentralised and resilient energy grids, but researchers must consider the ethical and social implications of their useComment: Preprint of paper published in Nature Machine Intelligence, vol. 1 (25 Nov. 2019

Big data methods, social media, and the psychology of entrepreneurial regions: capturing cross-county personality traits and their impact on entrepreneurship in the USA

There is increasing interest in the potential of artificial intelligence and Big Data (e.g., generated via social media) to help understand economic outcomes. But can artificial intelligence models based on publicly available Big Data identify geographical differences in entrepreneurial personality or culture? We use a machine learning model based on 1.5 billion tweets by 5.25 million users to estimate the Big Five personality traits and an entrepreneurial personality profile for 1,772 U.S. counties. The Twitter-based personality estimates show substantial relationships to county-level entrepreneurship activity, accounting for 20% (entrepreneurial personality profile) and 32% (Big Five traits) of the variance in local entrepreneurship, even when controlling for other factors that affect entrepreneurship. Whereas more research is clearly needed, our findings have initial implications for research and practice concerned with entrepreneurial regions and eco-systems, and regional economic outcomes interacting with local culture. The results suggest, for example, that social media datasets and artificial intelligence methods have the potential to deliver comparable information on the personality and culture of regions than studies based on millions of questionnaire-based personality tests