Event information
Date
04.03.2024
Time
08:30-09:05
Themes
Technology and innovation
Language
English
Three Lessons in AI Ethics: A Deep Dive into Responsible AI Practices
Tech experts are leading the charge in the development and utilization of Artificial Intelligence. We're the driving force behind AI tools and applications, and of pioneering their widespread integration into our work and studies. But with great technological power comes an even greater responsibility. It's imperative for tech professionals to be acutely aware of the ethical considerations surrounding AI's development and usage.
This year, Engineers Finland is celebrating World Engineering Day for Sustainable Development by championing our community's ability to lead and act responsibly in the dynamic realm of AI. Join our morning webinar to hear insights from three researchers on what every tech professional should know about the responsible design and use of AI. Don't miss this chance to stay ahead at the intersection of technology and ethics!
Speakers
Kai-Kristian Kemell
Kai-Kristian Kemell is a postdoctoral researcher from the University of Helsinki with six years of expertise in AI ethics. In his research on the topic, Kemell has focused on how to "do" AI ethics in practice in software development projects. Together with his colleagues, Kemell has conducted various studies looking at the current state of the industry in relation to AI ethics, and has developed the ECCOLA method, which is a card-based approach for implementing AI ethics in practice.
Linda Mannila
Linda Mannila (PhD) is Associate Professor in Computer Science at the University of Helsinki and Adjunct Associate Professor in Computer Science Education at Linköping University in Sweden. Her research focuses on the societal implications of AI, AI Literacy and CS education.
Otto Sahlgren
Otto Sahlgren is a PhD researcher in philosophy at the University of Tampere, whose research deals with the ethical risks and possibilities of AI, especially from the perspective of justice and non-discrimination.