Hanken AI Spotlight – Fresh insights on AI
The sessions are open for everyone to attend. Registration links for each session can be found below. A Teams link will be included in the confirmation e-mail which is sent after registration.
Using generative AI as your assistant: What to watch out for
Anu Helkkula, Senior Research Specialist, Research Ethics
11.11.2026 at 12.00 – 12.30
Generative AI can be a valuable assistant, helping us work more efficiently and generate ideas. However, it can also tempt us to rely on it too heavily or use it in ways that compromise quality, integrity, or transparency. Drawing on TENK's recommendations, this session explores the most common pitfalls and offers practical guidance for becoming a critical and responsible AI user.
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Conversational AI now relies on ads. Can they influence the answers you get?
Carlos Diaz Ruiz, Associate Professor
12.11.2026 at 12.00-12.30
OpenAI has introduced advertising in ChatGPT, while Google is testing sponsored answers within Gemini conversations. When commercial influence is woven into apparently helpful advice, users may struggle to distinguish information from persuasion. This presentation argues that examining the rollout of AI requires examining its business model—which means asking who pays for the answers you get.
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EMANAIRE: Human agency in AI-augmented futures of work
Mikko Vesa, Professor
17.11.2026 at 9.00-9.30
This Hanken AI Spotlights our participation in the EU Horizon project EMANAIRE; a collaboration between 8 leading European Universities and associated research partners. Our focus is on researching how AI is changing how we work by asking "How do we keep the capacity to shape what comes next?". Join to learn more about this leading European research initiative and about how your organization can join and benefit!
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Towards Responsible Government AI Systems
Tapani Rinta-Kahila, Associate Professor
17.11.2026 at 11.00 – 11.30
Government agencies implement artificial intelligence (AI) systems to support or automate public services. However, such systems have also been found to reproduce injustice and result in expensive technology failures. This project sheds light on the anatomy of harmful AI systems in two ways. First, it provides a systemic explanation of how harmful government AI systems eventuate and exert impacts on citizens and other stakeholders. Second, it fills a critical void in knowledge on how harm caused by AI systems can be recognised and challenged.
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Beyond Automation: How AI Creates New Opportunities in the Energy Sector
Thommie Burström, Senior Research Fellow
18.11.2026 at 11.00-11.30
Artificial intelligence (AI) is rapidly transforming how organizations create, access, and mobilize knowledge, creating new possibilities for innovation and opportunity identification. While existing research has primarily examined opportunity identification as an individual-level cognitive process, less attention has been devoted to understanding how opportunities emerge through collective organizational knowledge processes and how these processes are shaped by AI. We investigate how AI augments intraorganizational knowledge flows and propose a framework explaining how knowledge accumulation, communication, relocation, and connection collectively enable opportunity identification in large organizations.
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AI and Brands: A Trademark Law Perspective on Brand Use in Automated Shopping
Vera Sevastinova, Doctoral Researcher
24.11 2026 at 08.30-09.00
AI-powered shopping tools are changing how consumers find and choose products, potentially reducing the traditional role of trademarks as search tools. In this talk, I argue that trademarks remain important because they help consumers discover alternatives and support personal autonomy in increasingly automated marketplaces. Drawing on EU trademark law and platform regulation, I explore how shopping technologies can be designed to preserve consumer choice and well-being.
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