This post features two peer-reviewed articles about defining organizational AI governance and exploring the role of responsible AI in ESG investing. The recently published articles are authored by the AIGA research team from the University of Turku.
If you are the slightest bit aware of ethical AI or AI governance, you’ve probably heard about principles such as transparency, explainability, fairness, non-maleficence, accountability or privacy. It is easy to agree with these principles – the real question is how should we translate them into meaningful actions?
From ethical principles to governed AI Read More »
The AI services and products are developed to answer our needs today – or at least in the near future. As the years go by, the needs will change and the technology might be used very differently to what was initially thought. In this blog post, we argue that responsible AI development also involves doing our best to imagine such unexpected uses. It is important that we explore, critique, and discuss the way today’s technologies might shape the future.
Using speculative design to shape preferable futures of AI in society and business Read More »
The AIGA team at the University of Turku is hiring a project researcher or a research assistant for the remaining project period (until August 2022).
Open vacancy in the AIGA project Read More »
Algorithmic decision-making is increasing rapidly across industries as well as in public services. By default, AI systems such as machine learning or deep learning produce outputs with no explanation or context. As the predicted outcomes turn into recommendations, decisions or direct actions, humans tend to look for justification. Explainable AI (XAI) provides cues to how and why the decision was made, helping humans to understand and interact with the AI system.
How to explain artificial intelligence? Read More »
