Introducing my PhD Project to Make AI Design More Inclusive

I've recently published an article explaining why the field of artificial intelligence could greatly benefit from the approaches of design fields. I believe that involving different stakeholders early on in AI-based projects is the most effective technique to battle the various kinds of biases and shortcomings embedded within AI systems. By starting at the very beginning, involved stakeholders and their insights can help shed light on inequitable processes of design, on systemic biases buried in data-sets and how they can disadvantage different groups of people, on use-cases and experiences that might otherwise be overlooked, and on potential consequences and implications that even the most rigorous testing might not capture. Instead of creating overly-specific, bespoke solutions tailored to a specific project, or trying to focus on completely eradicating one of those problems, my approach is to bring the voices that matter into the design process and let them help the expert team navigate all these challenges. By providing a more generalized toolkit and methodology for supporting these stakeholders, different problems in different projects and during different phases can all be addressed in whatever way is needed.