Responsible and Ethical Governance of AI Models

The proliferation of tools facilitating the democratization of Artificial Intelligence has necessarily accelerated the need to develop and deploy those tools responsibly.  Whether it be as simple as a linear regression, as automatic as an unsupervised machine learning model, or as powerful as a deep neural network, the ease which non-data scientists can create these models requires that an ethical framework and a formal governance structure be in place before, during, and after the models are developed.  In this talk, I will discuss the implementation of responsible AI practices and how one might integrate them practically in bureaucratic and administrative processes likely already in place in many organizations.

Rob is a senior data science and AI executive with 25+ years of hands-on experience developing advanced analytics and formulating analytic strategy in multiple industries, from national security to algorithmic investing. His projects have produced tangible benefits for clients, saving time, money, and lives. Rob has led teams of data scientists, intelligence analysts, statisticians, academics, and programmers to implement innovative and actionable analytic solutions. He is especially adept in environments that require predicting individual human behaviors. With a proven track record in artificial intelligence, machine learning, natural language processing, and large-scale forecasting, he is positioned to tackle intractable problems where data is both varied and voluminous.