The Montreal AI Ethics Institute uses their website to promote research on AI Ethics, and project AIGA is honored to be featured on this platform. We wrote a short piece to summarize our findings from a paper “Defining organizational AI governance”. The original paper was published in AI and Ethics journal earlier this year. “We …
Samuli Laato was recently awarded an early-career award on his work conducted within the AIGA consortium. Samuli and co-authors presented a paper “AI Governance in the System Development Life Cycle: Insights on Responsible Machine Learning Engineering” at the CAIN’22 conference, which combines artificial intelligence and software engineering.
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?