Elaine Weidman Grunewald
AI Sustainability Center
Ms. Grunewald is co-founder of the AI Sustainability Center. She is an expert on global sustainability and development issues and has worked for over two decades in the private sector, focusing on digitalization and sustainable development challenges across multiple sectors. She spent nearly 20 years at Ericsson, where she was SVP and Chief Sustainability and Public Affairs Officer, and a member of the Executive Team. She sits on the Boards of environmental architecture and consulting firm Sweco AB, the Whitaker Peace and Development Initiative, which focuses on the importance of youth empowerment in peacebuilding, and the International Women’s Forum, Sweden. She has been actively engaged in the Broadband Commission for Sustainable Development, the UN Sustainable Development Solutions Network, and the Business and Sustainable Development Commission. She is a frequent speaker at conferences including the World Economic Forum, SXSW, the United Nations, and Mobile World Congress. She holds a double master’s degree from Boston University’s Center for Energy and Environmental Studies.
AI Sustainability Center
Ms. Felländer is the co-founder of AI Sustainability Center. Anna is digital economist, affiliated to the Royal Institute of Technology and most recently had that role as chief economist at Swedbank, one of Sweden’s leading banks. She worked in the Swedish Government for 10 years and is one of Sweden’s leading experts and government advisors on the effects of digitalization on organizations, society, and the economy.
VP – Customer Success and Engagement
Ms. McDonald is the Vice President of GRC Solutions at MetricStream and is focused on the company's GRC market leadership. She has over 30 years of experience in Information Technology and Management, with a focus on Governance, Risk, and Compliance over the past 10 years. She is responsible for MetricStream's Customer Program for over 300 companies world-wide and drives MetricStream's GRC Journey Program which provides expertise in helping companies implement strategies and programs for governance, risk, and compliance (GRC) solutions that add strategic value while delivering dramatic cost savings. She has led start-ups and business units within system integration and outsourcing companies and provided advisory services to F1000 on the implementation of GRC programs. She holds a B.Sc. (Honors) in Mathematics and Computer Science and an M.B.A. from Dalhousie University in Canada. She is also a Certified Management Consultant (CMC), Certified in Governance of Enterprise IT (CGEIT), and a Certified Information Security Manager (CISM).
Data driven solutions and AI applications create enormous value. Yet, the pace of tech is accelerating, and the profits can be seductive and lead to unintended pitfalls. Discrimination, privacy intrusion, unethical nudging and social exclusion occur more frequently. These risks are difficult to predict using traditional compliance tools. An integrated perspective is needed - one that incorporates the legal, technical, and societal aspects of any tech solution.
Until recently, regulation has been lagging behind technological advancements. Today, every organization using data-driven technologies and AI must start to consider the concepts of explainability, transparency and accountability. Developments in the policy and regulatory environment are also changing rapidly. The EU has recently published guidelines on Trustworthy AI, raising a number of issues where organizations will eventually have to comply, and it is better to be proactive and gain first-hand knowledge sooner rather than later.
Organizations need practical tools to detect, mitigate and govern how their use of data and AI is scaling in a broader context. If left unattended, societal and ethical risks from data driven technologies and AI can have unintended negative consequences on people and society. In addition, they can violate the reputation of your company.
AI Sustainability Center together with MetricStream has launched the first commercially available risk scanning self-assessment tool which makes it possible to scan AI and data driven applications for exposure to ethical and societal risks and potential vulnerabilities. The result is a unique risk profile, providing a “health check” which assesses both your organization’s risk level, as well as the risks for your specific AI solution.
For more insights, join this webinar where our experts will discuss: