Moral Responsibility of Data Professionals - Whistleblowing

Data 4 Good

Data is powerful. Since the turn of the decade, companies around the world have leveraged data to accomplish amazing feats, such as facial recognition, self-driving cars, and (most importantly) recommendations on which Hulu film to stream. This is only to name a few. On the flipside, however, companies and people have also used data for destructive means. It is no longer enough for data professionals to be competent in migrating servers to the cloud, or calculating p-values, or publishing Tableau dashboards. We must also be ethical. We must use data responsibly. We must have measures in place to prevent corporate abuse of data, on both a systemic and individual level. And if the time comes, we must whistleblow to reveal corporate abuse of data. Staying silent or negligent in the face of corporate data abuse causes incalculable harm, and you may be legally liable. The innumerable costs of a corporate scandal include tarnished company reputation, crashing valuations, irate shareholders, and (most importantly) ruined customers.
This talk will cover:
*Case Study of Data-related Corporate Scandals
*Damage and Cost of Corporate Scandals
*Moral Use of Data to Prevent Corporate Scandals
*Whistleblowing as a Data Professional
*My Prior Personal Whistleblowing Experience