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Trust.: Responsible AI, Innovation, Privacy and Data Leadership
Price: $32.99 – $22.99
(as of Dec 24,2024 05:09:27 UTC – Details)
ASIN : B0CN2BBGPF
Publisher : Forbes Books (December 26, 2023)
Language : English
Hardcover : 399 pages
ISBN-13 : 979-8887501734
Item Weight : 1.55 pounds
Dimensions : 5.9 x 1.5 x 9 inches
Customers say
Customers find the book provides a well-rounded understanding of AI governance. They appreciate the author’s clear writing style and straightforward information. The book helps readers feel empowered with knowledge to harness new tools. It navigates the intricacies of aligning data practices with strategic goals, fostering an ethical data culture, and the right questions for their business.
AI-generated from the text of customer reviews
In today’s rapidly evolving technological landscape, trust is more important than ever. As we rely on AI and other innovative technologies to improve our lives, it is crucial that we prioritize responsible AI, innovation, privacy, and data leadership.
Responsible AI involves ensuring that artificial intelligence systems are developed and deployed in a way that is ethical, transparent, and accountable. This includes addressing bias in algorithms, protecting user privacy, and considering the potential impact of AI on society as a whole.
Innovation is essential for driving progress and growth, but it must be done in a way that respects individuals’ rights and values. Companies and organizations must prioritize ethical considerations in their technological advancements, and strive to create solutions that benefit society as a whole.
Privacy is a fundamental human right, and protecting individuals’ personal data is essential in building trust in technology. Companies must be transparent about how they collect, use, and store data, and ensure that privacy is at the forefront of their decision-making processes.
Data leadership involves setting a positive example in how data is managed and utilized. Companies must lead by example in demonstrating best practices for data governance, security, and compliance, and work to build trust with their customers and stakeholders.
By prioritizing responsible AI, innovation, privacy, and data leadership, we can build a more trustworthy and sustainable technological future. It is up to all of us to ensure that technology is used in a way that benefits society and respects individual rights and values.
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