Council Post: How To Build Responsible AI, Step 1: Accountability

The development, deployment and operation of irresponsible AI has done, and will continue to do, significant damage to individuals, business, markets, societies and economies of every scale. Now is the time to be explicit in the processes and systems that we create. In a series of articles, I will explore each one of these elements and its crucial role in building the responsible AI of the future. The first component of responsible AI that I will address in this second article in the series is accountability, which is especially important in areas such as supply chain, finance, national security and intelligence, cyberbalkanization, data protection, data destruction and data/algorithm aggregations. Rather than assume we all mean the same thing when we use the term "accountability," I'll now suggest three critical features for how we distill the term and understand it beyond its etymology.