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23-24 November 2020

Innovate, Differentiate, Lead

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.Every good AI strategy requires knowing what is possible, how to get started and how to minimize the risks from the beginning. Attendees will learn how AI is transforming organisations today, and how to develop and manage it responsibly. 

This two part interactive masterclass aims to enable you and your organisations to innovate, differentiate and lead with responsible AI.  

What you will learn 

  • Discover opportunities for Responsible AI in your business
  • Understand the ethical dilemmas of AI in organisations
  • Explore aspects of AI strategy
  • Get ahead of standardisation and potential regulation
  • Explore application of the EU  Guidelines for Trustworthy AI
  • Enhance your brand and become an industry thought leader

You will be issued with a certification at completion. 

Who this is for

This masterclass is valuable for any professionals wanting to understand the concerns and opportunities with responsible AI. It could be general managers working with strategy or those who already use or consider using AI systems in their business function, but also those working in the areas of risk, compliance and legal and those who are actively engaged in the handling of data and development related to AI systems

This class is interactive and will have a maximum of 25 participants.  


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Masterclass Details 

The Introduction to Responsible AI masterclass is organised and facilitated by  Gradient Descent and VeRAI and available as a two part online session. Once you have registered for this event, you will receive a confirmation email containing a link to a Zoom webinar. This link will become active on the day of the event. 

Day 1 -  Monday 23rd November  (9am to 12pm CEST) 

Responsible AI Introduction 

  • What is Responsible AI?
  • Ethical & legal landscape for AI
  • Ethics guidelines and 7 requirements for Trustworthy AI
  • Interactive: requirement ranking
  • Interactive: use case assessment


Day 2 -  Tuesday 24th November  (9am to 12pm CEST) 

AI Strategy for Responsible AI

  • Introduction to the AI strategy and maturity
  • How to integrate Responsible AI into your organisation
  • Interactive: identifying opportunities in your organisation
  • Interactive: mapping the opportunity space for Responsible AI actions


Contact us at contact@responsibleai.se if you have trouble registering for or accessing the session.

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Speakers

Nina Bozic Yams
Senior Researcher in Innovation Management and Future of Work, Research Institutes of Sweden, PhD

Nina Bozic Jams 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.

Andreas Theodorou
Postdoctoral researcher Umeå University, CEO and co-founder VerAI, PhD

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
AI Strategist, co-founder Gradient Descent

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.

Virginia Dignum
Wallenberg Professor of Responsible AI, Umeå University, co-founder VerAI, PhD

Prof. Virginia Dignum is the CTO and co-founder of VeRAI AB, a Full Professor at Umeå University, Chair of the Responsible Artificial Intelligence group and associated with the Faculty of Technology Policy and Management at the Delft University of Technology in the Netherlands. Her research focuses on value-sensitive design of intelligent systems and multi-agent organisations, in particular on the ethical and societal impact of AI. She is a Fellow of the European Artificial Intelligence Association (EURAI), a member of the European Commission High Level Expert Group on Artificial Intelligence, and of the Executive Committee of the IEEE Initiative on Ethics of Autonomous Systems. She is a member of the scientific boards of the Delft Design for Values Institute, the AI4People – European Global Forum on AI, the Responsible Robotics Foundation, the SIDNfonds, and ALLAI-NL the Dutch AI Alliance. In 2006, she was awarded the prestigious Venigrant by the NWO (Dutch Organization for Scientific Research) for her work on agent-based organizational frameworks. She has published more than 180 peer-reviewed papers and edited several books, currently yielding a h-index of 31. From 2011 to 2017, she was vice-president of the Benelux AI Association (BNVKI).

Galina Shubina
AI Technologist Co-founder Gradient Descent Women in Data Science Sweden

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.

Sandor Albrecht
AI Strategist, Gradient Descent Ecosystem Driver, Wallenberg Launch Pad, PhD

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.  

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