"Trust" (Dominique Shelton Leipzig)

TITLE: Trust.: Responsible AI, Innovation, Privacy and Data Leadership
AUTHOR: Dominique Shelton Leipzig
PUBLISHER: Charleston, SC: Forbes Books, 2024, (399 pages).
 

It is not easy to trust what we see today. From Artificial Intelligence to Deep Fake technologies, it is becoming easier to manipulate data for illegitimate ends. With innovation comes the tendency for cheating and criminal activities. Data security is critical to preserve the integrity of businesses and maintain positive public trust. All it takes is a data leak, hacking, systems malfunction, or an infiltration of ransomware, and the corporation's activities easily come to a standstill. According to Dominique Shelton Leipzig, the problem with modern corporate boardrooms is that data management is typically delegated to backroom staff, like data scientists or IT professionals. Some don't know the right questions to ask about their data in the first place. This calls for a more proactive approach when dealing with data and information in the company. Data stewardship cannot be left to consultants, or engineers in the data center, or outsourced to cheaper IT professionals outside. They need to be managed responsibly. Senior management needs to be held accountable. Data breaches and data security lapses cannot be blamed on data center staff. CEOs must take an active interest in the integrity and use of data in their organizations. With more businesses and information being collected and stored both inside and outside the organizations, there needs to be a heightened awareness and responsibility about its collection, management, protection, and usage. Companies of all sizes need a proper data strategy. The thesis in this book is that to re-establish trust in organizations, it is high time for senior management to take leadership of their corporate data as a critical asset. In Leipzig's words, one must "lead with trust." That means three things: