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.

VP Data & AI at ECS, roles have included co-founder at a data analytics startup, VP AI at Booz Allen, and Global Analytics Lead at Accenture. As the influence of artificial intelligence grows, it is increasingly vital to design processes and systems to harness AI while counterbalancing risk. Our charge is to eliminate bias, codify objectives and represent values. Responsible AI ensures alignment to our standards spanning data, algorithms, operations, technology and Human Computer Interaction. I am examining the importance of each of these elements in a series of articles.

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.