Artificial Integrity (eBook)
306 Seiten
Wiley (Verlag)
978-1-394-29800-6 (ISBN)
Navigating the transitions to the future of AI-Integrity over Intelligence
Envision a world where artificial intelligence can deliver integrity-led outcomes seamlessly, adapting to diverse cultural context, value models, and situational nuances, countering subconscious biases, all while operating in an advanced human-centered manner. This is the promise of Artificial Integrity.
In Artificial Integrity, digital strategist, technologist, doctoral researcher, acclaimed management thinker, and seasoned business executive Hamilton Mann emphasizes that the challenge of AI is in ensuring systems that exhibit integrity-led capabilities over the pursuit of mere general or super intelligence.
Mann tackles the inadequacies of traditional ethical frameworks in handling the complexities of new AI technologies to make them trustworthy and reliable as they profoundly impact human lives.
Introducing the transformative concept of 'artificial integrity,' Mann proposes a paradigm shift, defining a 'code of design' to ensure AI systems align with, amplify, and sustain human values and societal norms, maximizing integrity-led AI outcomes.
Artificial Integrity discusses practical insights into driving a future where AI enhances, without replacing, human capabilities while being inclusive and reflective of diverse human experiences, emphasizing human agency.
The book offers:
- Guiding posts and step-by-step solutions for designing, implementing and continuously aligning AI development to responsibly advance human and artificial co-intelligence
- Strategies and actionable advice for integrating AI into business and societal structures
- Practical paths toward managing the transition to the future of AI for human productivity and decision-making while maintaining sustainable trustworthiness
Artificial Integrity is essential for anyone involved in AI development, from executives, business leaders, and managers to entrepreneurs, tech enthusiasts and policymakers. It's also perfect for laypeople interested in how AI intersects with society. Dive into this compelling and thought provoking read to ensure you are prepared for the challenges and opportunities that lie ahead in a human-centered AI-driven future.
HAMILTON MANN is a Tech Executive, Digital and AI for Good Pioneer, Keynote Speaker, and the originator of the concept of Artificial Integrity. He serves as Group Vice President at Thales, where he co-leads the AI initiative and Digital Transformation while also overseeing global Digital Marketing activities. He also serves as a Senior Lecturer at INSEAD and HEC Paris as well as a mentor at the MIT Priscilla King Gray (PKG) Center. He is a doctoral researcher in AI at École Nationale des Ponts et Chaussées - Institut Polytechnique de Paris. He writes regularly for Forbes as an AI columnist and has published articles about AI and its technological and societal implications in prominent academic, business, and policy outlets such as Stanford Social Innovation Review (SSIR), Knowledge at Wharton, Leader to Leader (Wiley), Dialogue Duke Corporate Education, INSEAD Knowledge, the Harvard Business Review France and the European Business Review. He hosts The Hamilton Mann Conversation, a podcast on Digital and AI for Good, ranked in the Top 10 for technology thought leadership by Technology Magazine. He was inducted into the Thinkers50 Radar as one of the 30 most prominent rising business thinkers globally.
Navigating the transitions to the future of AI Integrity over Intelligence Envision a world where artificial intelligence can deliver integrity-led outcomes seamlessly, adapting to diverse cultural context, value models, and situational nuances, countering subconscious biases, all while operating in an advanced human-centered manner. This is the promise of Artificial Integrity. In Artificial Integrity, digital strategist, technologist, doctoral researcher, acclaimed management thinker, and seasoned business executive Hamilton Mann emphasizes that the challenge of AI is in ensuring systems that exhibit integrity-led capabilities over the pursuit of mere general or super intelligence. Mann tackles the inadequacies of traditional ethical frameworks in handling the complexities of new AI technologies to make them trustworthy and reliable as they profoundly impact human lives. Introducing the transformative concept of artificial integrity, Mann proposes a paradigm shift, defining a code of design to ensure AI systems align with, amplify, and sustain human values and societal norms, maximizing integrity-led AI outcomes. Artificial Integrity discusses practical insights into driving a future where AI enhances, without replacing, human capabilities while being inclusive and reflective of diverse human experiences, emphasizing human agency. The book offers: Guiding posts and step-by-step solutions for designing, implementing and continuously aligning AI development to responsibly advance human and artificial co-intelligence Strategies and actionable advice for integrating AI into business and societal structures Practical paths toward managing the transition to the future of AI for human productivity and decision-making while maintaining sustainable trustworthiness Artificial Integrity is essential for anyone involved in AI development, from executives, business leaders, and managers to entrepreneurs, tech enthusiasts and policymakers. It's also perfect for laypeople interested in how AI intersects with society. Dive into this compelling and thought provoking read to ensure you are prepared for the challenges and opportunities that lie ahead in a human-centered AI-driven future.
| Erscheint lt. Verlag | 9.9.2024 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Schlagworte | ai and productivity • ai at work • ai co-intelligence • AI ethics • Artificial Intelligence • artificial intelligence at work • Artificial Intelligence Ethics • Human-Centered AI • human productivity and ai • responsible AI • trustworthy AI |
| ISBN-10 | 1-394-29800-5 / 1394298005 |
| ISBN-13 | 978-1-394-29800-6 / 9781394298006 |
| Haben Sie eine Frage zum Produkt? |
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