Enabling responsible development of artificial intelligent technologies is one of the major challenges we face as the field moves from research to practice. Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learning in many current and future real-world applications. Now there are calls from across the industry (academia, government, and industry leaders) for technology creators to ensure that AI is used only in ways that benefit people and “to engineer responsibility into the very fabric of the technology.” Overcoming these challenges and enabling responsible development is essential to ensure a future where AI and machine learning can be widely used. In this talk, we are discussing the latest practical approaches to responsible AI and demonstrate how our latest open source and cloud integrated responsible ML capabilities empower data scientists and developers to understand and improve ML models better.
Responsible use of data and Artificial Intelligence (AI) has become a crucial element in today’s tech policy debates. The ultimate question is how we ensure technology benefits society and citizens – not the other way around. Companies and government authorities alike are faced with tough questions on how to maximize the benefits of AI for innovation across sectors – ranging from healthcare and welfare services to tax payments and the future transport – while reducing potential harms associated with high-risk use cases. Yet there is a growing need to move from normative principles to concrete steps. In recent years, the Government of Denmark, in close partnerships with industry and researchers, have taken a number of steps to operationalize data ethics. Organized jointly by the Danish Chamber of Commerce and Microsoft, this panel discussion will explore specific examples from both government and businesses to shed light on we operationalize responsible AI through public-private partnerships.
Speakers:
Martin Axelsen, CSO & Co-founder of Radiobotics
Sine Nørholm Just, Professor at Roskilde University and member of the Algoritmer, Data og Demokrati – ADD projektet
Torsten Andersen, Deputy Director-General, Danish Business Authority
Hans Jayatissa, CTO, KMD
Mikael Jensen, Director, D-Seal
Marya Akhtar, Chief Legal Advisor, Danish Institute for Human Rights
Mehrnoosh Sameki is a senior technical program manager at Microsoft, responsible for leading the product efforts on machine learning interpretability and fairness within the Open Source and Azure Machine Learning platform. She has cofounded Fairlearn and Responsible-AI-widgets and has been a contributor to the InterpretML offering. She earned her PhD degree in computer science at Boston University, where she currently serves as an adjunct assistant professor and lecturer, offering courses in responsible AI. Previously, she was a data scientist in the retail space, incorporating data science and machine learning to enhance customers’ personalized shopping experiences.
Senior Technical Program Manager, Microsoft
CSO & Co-founder of Radiobotics
Sine N. Just works with strategizing communication, broadly speaking. Theoretically, she is particularly concerned with the relationship between intended and realized strategy, including the negotiation of individual and collective agency via mediated affordances. She studies the dynamic interrelations of social and technological elements that constitute organizational assemblages. She is particularly interested in the formation of public legitimacy and collective identity through public debate. Previous research spans such issues as e.g. the future of the EU, the global financial crisis, and organizational negotiations of diversity and difference. Her current empirical work focuses on crises of trust on digital democracy.
Professor at Roskilde University and member of the Algoritmer, Data og Demokrati - ADD projektet
Deputy Director-General, Danish Business Authority
Hans Jayatissa is Chief Technology Officer (CTO) at KMD, responsible for bringing new technlogies like AI and Biometrics into the products and solutions of KMD. He has a Master in Computer Science and Mathematics from Aarhus University and an MBA from Henley Business School. He has for more than 25 years worked with Public Sector Digitalization and has been responsible for a number of key public sector IT-solutions e.g. the fully automated Danish Digital Land Registration System.
CTO, KMD
Mikael Jensen has since February 1, 2020 been the Director of D-mærket/D-seal, which is Denmark’s new labelling program for IT-security and responsible use of data. The D-seal is founded by the Confederation of Danish Industry, The Danish Chamber of Commerce, SMEdenmark and the Danish Consumer Council. The D-seal is supported by the Danish Business Authority & funded by The Danish Industry Foundation.
Mikael has 10 years of C-level experience within digital start-ups, 9 years of experience within incumbent Telco TDC Group in strategic, tactical, and operational roles and more than 4 years of brand, marketing, and category management experience within FMCG at Unilever.
Mikael holds a M.Sc. in Economics and Business Administration from Aarhus BSS, Aarhus University.
Director, D-mærket/D-seal
Marya Akhtar is a chief legal advisor at the Danish Institute for Human Rights specialised in the field of human rights and new technologies. She is leading the Institute’s work on the use of AI with a particular focus on human rights challenges which arise from the use of automated decision-making systems. She is part of the on-going work at the Council of Europe’s Ad Hoc Committee on Artificial Intelligence where she serves as a representative for the European Network of National Human Rights Institutions. She has a background as attorney-of-law specialised within EU and competition law and has been teaching constitutional law at the university for the past ten years and is an external lecturer at the faculty of law at Copenhagen University.
Chief Legal Advisor, Danish Institute for Human Rights
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