Artificial Intelligence is transforming our work, our organisations, entire industries and our society as a whole. Despite the many potential benefits of this general-purpose technology, there are significant challenges and risks, ranging from privacy, security, ethics, transparency and regulation.
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Understand the ethical dilemmas of AI in organisations
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Explore application of the EU Guidelines for Trustworthy AI
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SANDOR ALBRECHT
Sandor Albrecht is a community builder and change driver. He is passionate about innovation and technology incubation. Currently, he is at the Knut and Alice Wallenberg Foundation and RISE Computer Science, which means he works with people that explore new ways of connecting human beings, industries and technologies, all in the pursuit of making it more secure and enjoyable to work and live in a sustainable world. He worked at Ericsson for twenty years in Hungary and Sweden as a leader in product development and corporate research. He was the founder and head of Ericsson Garage, Ericsson’s global innovation and incubation platform. He received his Master of Science in Electrical Engineering from Budapest University of Technology and Economics in 1993, and his PhD from the same institution in 2004. He also holds a Master of Applied Science from the University of British Columbia in Canada and holds a Master of Business Administration from Central European University Business School, Budapest, Hungary.
GALINA ESTHER SHUBINA
Galina Esther Shubina is a co-founder of Gradient Descent, a strategy consultancy focused on helping companies become data-driven and AI-enabled with focus on actionable strategy and helping organisations transform, grow and learn to speak data as a native language. She helped multiple small startups as well as bigger companies like Spotify with their data and AI strategy and organisational transformations. Prior to that, Galina Esther spent 10 years at Google as a manager, software engineer, and data scientist working on everything from machine learning advertising products to highly scalable distributed systems, over four years of it in the Silicon Valley. She also built the data and analytics team at Schibsted, as Trinity Mirror (now Reach Plc), and again at an electrical battery manufacturer, Northvolt. She is a co-founder of Women in Data Science Sweden, a community of over a thousand women in the field of data science, machine learning, AI and data analytics in Sweden.
ANDREAS THEODOROU
Dr. Andreas Theodorou is a postdoctoral researcher in the Responsible AI Group at Umeå University and the CEO and co-founder of VeRAI AB. His research interests include the development of software engineering methods of artificial intelligence, the verification and validation of ethical values in intelligent systems, the development means to provide transparency and explainability, and the study of the public’s perception of intelligent systems. In parallel to his research activities, Dr. Theodorou has been a contributing member of AI policy initiatives, e.g. IEEE SA’ P7001 series, ISO JTC1/42, UK’s AI APPG, EU’s AI Alliance, and others. He was part of the research team to evaluate the ethics guidelines for trustworthy AI suggested by the High-Level Expert Group on AI of European Commission. Dr. Theodorou has previously held research, visiting research, and teaching positions in the Georgia Institute of Technology (USA), University of Bath (UK), and University of Surrey (UK).
VALERIE RICHARDSON
Valerie Richardson is an AI Strategist and a co-founder of Gradient Descent, a strategy consultancy focused on helping companies become data-driven and AI-enabled with focus on actionable strategy. Valerie is an experienced leader and advisor in digital disruption and transformation with over 20 years at Google and General Electric, helping companies in multiple industries solve strategic and operational problems in an integrated way across multiple technology domains. Her expertise includes defining digital strategies and developing digital operating models with a focus on providing practical solutions to complex technology challenges for executives. She has a specific interest and experience in emergent technologies, including AI and IIoT. Valerie most recently led a digital division of General Electric advising large industrial industrial operations on how to implement cloud-based enterprise IIoT software, data analytics, machine learning and AI to increase productivity, reduce costs and improve competitiveness.
NINA BOZIC YAMS
Nina Bozic Yams is a senior researcher in Innovation Management and Future of Work at the Research Institutes of Sweden. Nina has a PhD in Innovation Management and 16 years experience working as an innovation enabler and explorer both in companies and public sector organizations. After starting her caree as a management consultant at Deloitte and building an entrepreneurship centre CEED Slovenia, she moved to Sweden where she continued her work as an innovation consultant and action researcher, working with organizations, such as Nacka, Eskilstuna and Västerås municipalities, ABB, Electrolux, Ericsson, GodEl and others. In the last two years she has been researching the future of work to help organizations prepare for the future, how to better integrate AI into people’s lives.