Kristina Knaving - keynote, panelist and breakout session facilitator

Senior Researcher and Interaction Designer at RISE, Research Institutes of Sweden

How Do We Build Broad Trust in AI – On Challenges, Ethics, and the Importance of Participation

What you will hear: AI suffers from a lack of transparency, expresses bias, and cannot judge on its own veracity - but it also has great potential to transform our society. Many people are afraid of what increased use of AI will mean for our society and democracy. Can we create ethical and reliable AI? If we cannot, how do we build a broad and healthy trust in AI that corresponds to what AI is actually good at?

About: Kristina Knaving is a senior researcher at RISE. She has a background in human-computer interaction, data visualization, and decision support. Her research focuses on the opportunities, risks, and ethical questions surrounding personal data and AI, as well as how new technologies affect individuals and society.

Rafia Inam - keynote, panelist and breakout session facilitator

Senior Research Manager at Ericsson Research and Adjunct Professor at The Royal Institute of Technology (KTH), Sweden

The role of Trustworthy AI / Explainable AI in Telecom industry

What you will hear: Trust and reliance on modern telecom systems are widespread. However, the adoption of AI introduces new risks and necessitates countermeasures. Governments, companies, and regulatory bodies worldwide are recognizing the need for trustworthy AI systems.

The presentation will discuss the importance of AI regulation and its impacts, and current standardization work in Europe. It will also include Trustworthy AI and Explainable AI for Telecom industry to enable customer trust; and how these techniques can support the industry to ensure correctness of AI models, provide transparency to different users, enable automation of telecom use cases, and help to identify and describe unexplained or new behavior of the models.

About: Rafia Inam is a Senior Research Manager at Ericsson Research in Trustworthy AI and Adjunct Professor at The Royal Institute of Technology (KTH), Sweden. She has conducted research for Ericsson for the past ten years on 5G for industries, network slices, and network management; and AI for automation. She specializes in trustworthy AI, Explainable AI, risk assessment and mitigations using AI methods, and safety for cyber-physical systems for telecom and CPS. She is also contributing to trustworthy AI based standardization specially to European standards in CEN/CLC based on EU AI Act.

Rafia received her PhD in predictable real-time embedded software from Mälardalen University in 2014. She has co-authored 55+ refereed scientific publications and 60+ patent families, and 2 best paper awards. She won Ericsson Top Performance Competition 2021 on her work on AI for 5G network slice assurance and was awarded multiple Ericsson Key Impact Awards.

https://sites.google.com/view/rafiainam/home

Tilde Skånvik - panelist and breakout session facilitator

Tilde Skånvik is Legal Counsel and Compliance Officer at Lindholmen Science Park AB (AI Sweden).

About:

Tilde Skånvik specializes in data protection, AI governance, and legal advisory for innovation-driven projects in areas such as AI, mobility, media, and democracy. At Lindholmen, she has developed GDPR compliance, providing legal guidance on policies, risk assessments, and organizational routines. She plays a key role in contract management and supports project leaders across a broad range of legal matters.

Tilde has worked with the development of the organization’s AI policy, conducted legal and risk assessments for AI applications, and created external training material on the EU AI Act to support stakeholders in navigating upcoming regulatory requirements. She also delivers training on data protection and chairs AI Sweden's Legal Expert Group, fostering knowledge-sharing and structured legal collaboration. With a strong foundation in law and a practical understanding of complex technological environments, she helps enable secure and compliant innovation.

Markus Lingman - breakout session facilitator

Markus Lingman is Chief Strategy Officer at Halland hospital group and adj. professor at Halmstad University information drive care, AI Swede of the year 2020.

About:

Markus Lingman is adj professor of medicine at the Dept. Information technology at Halmstad University and researcher at Sahlgrenska Academy, Gothenburg. Insights from research are actioned in his role as Chief Strategy Officer of Region Halland. With a background as specialist physician and in healthcare management Markus´work revolves around the translation from care data to value for patients and providers. In 2020 he was named AI-Swede of the year by the Swedish medtech sector and in 2024 the National Government appointed member of the Scientific Council for Medicine and Health. Dominating current academic projects are on detection of risk for sudden cardiac death together with UC Berkeley, and identifying early exacerbation of chronic disease using smart watch data in collaboration with Stanford School of Medicine.