Trust. Responsible AI, Innovation, Privacy and Data Leadership
With great power comes great responsibility, especially regarding data in today’s business landscape. Data is essential for critical functions, but it also imposes significant responsibilities on company boards and C-suites. A recent study reveals that trusted companies outperform their peers by 400%. As draft legislation in 37 countries pushes for “trustworthy AI,” the EU’s Draft Artificial Intelligence Act aims for adoption by Q4 2023, establishing a legal framework for trustworthy AI.
In her book, Trust. Responsible AI, Innovation, Privacy and Data Leadership, Dominique Shelton Leipzig outlines industry-leading strategies to foster trust among customers, partners, and stakeholders at every level.
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Dominique’s expertise guides leaders through the most urgent data security issues of our time, including:
- How to exercise oversight to ensure your organization has implemented a “trusted AI” program that is consistent with emerging legislative trends for AI
- How to value data in a world in which data is king
- The issues of data privacy that can destroy trust
- Global legislative changes in data privacy laws that demand accountability
- The specific responsibilities of the C-Suite in data stewardship
- The potential harms of artificial intelligence that need to be mitigated, including bias, privacy, and more
Comprehensive and rooted in real-world experience, Trust is essential reading for leaders in any sector.
Download a Free Chapter
Data is no longer the purview of IT professionals. Leaders need to be engaged and active in every stage of the data life cycle and Dominique Shelton Leipzig’s book can help them do just that. Download an excerpt of her chapter on AI for free by filling out the simple form below!
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