8,99 €
Human Centered AI Imperative: A Framework for Ethical Artificial Intelligence. Revolutionary Governance, #4
Par :Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- FormatePub
- ISBN8230825500
- EAN9798230825500
- Date de parution18/04/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIndependently Published
Résumé
Artificial Intelligence promises a revolutionary future, but unchecked, it poses risks from algorithmic bias and manipulation to job displacement and even existential threats. How do we ensure this transformative technology serves humanity, not the other way around?Existing ethical guidelines often fall short - vague, unenforceable, lagging behind the accelerating pace of AI development. We need more than well-intentioned principles; we need a robust, verifiable foundation for building safe and beneficial AI.
The Human-Centered AI Imperative presents that foundation. Authored by systems designer Sol Roth, this book introduces a groundbreaking framework built not on suggestions, but on unshakeable, objectively verifiable axioms - fundamental truths embedded into the core of AI systems. Discover a new paradigm for AI ethics designed to guarantee alignment with human values. Inside, you'll explore: The Core Principles: A comprehensive breakdown of essential ethical principles, including Human Oversight, Beneficence, Transparency, Fairness, Privacy, and Non-Aggression.
The Axiomatic Foundation: Understand the revolutionary approach of using immutable axioms to create inherently trustworthy and logically consistent AI. Novel Safety Protocols: Learn about Cross-Validated AI (CVAI) and the Triple-AI Safety Protocol (TASP) - practical mechanisms for mitigating risks in high-stakes applications. Practical Implementation: Discover actionable steps for developers and organizations, including Algorithmic Impact Assessments (AIAs), red-teaming, explainable AI (XAI), data governance, and the crucial role of instruction sets.
Addressing Key Challenges: Explore specific ethical considerations for Large Language Models (LLMs) and the hypothetical implications of AI sentience. The Imperative of Education: Understand why building an ethically aware workforce and an informed public is critical. The Human-Centered AI Imperative moves beyond reactive measures to embrace anticipatory ethics, providing a blueprint for designing AI that actively promotes human flourishing.
It details the "why" and the "how" for creating a future where technology empowers, rather than endangers, humanity. This comprehensive exploration is essential reading for AI developers, researchers, policymakers, business leaders, ethicists, students, and any citizen concerned about shaping a responsible and beneficial future with artificial intelligence. Take the crucial step towards ensuring a human-centered AI future.
The Human-Centered AI Imperative presents that foundation. Authored by systems designer Sol Roth, this book introduces a groundbreaking framework built not on suggestions, but on unshakeable, objectively verifiable axioms - fundamental truths embedded into the core of AI systems. Discover a new paradigm for AI ethics designed to guarantee alignment with human values. Inside, you'll explore: The Core Principles: A comprehensive breakdown of essential ethical principles, including Human Oversight, Beneficence, Transparency, Fairness, Privacy, and Non-Aggression.
The Axiomatic Foundation: Understand the revolutionary approach of using immutable axioms to create inherently trustworthy and logically consistent AI. Novel Safety Protocols: Learn about Cross-Validated AI (CVAI) and the Triple-AI Safety Protocol (TASP) - practical mechanisms for mitigating risks in high-stakes applications. Practical Implementation: Discover actionable steps for developers and organizations, including Algorithmic Impact Assessments (AIAs), red-teaming, explainable AI (XAI), data governance, and the crucial role of instruction sets.
Addressing Key Challenges: Explore specific ethical considerations for Large Language Models (LLMs) and the hypothetical implications of AI sentience. The Imperative of Education: Understand why building an ethically aware workforce and an informed public is critical. The Human-Centered AI Imperative moves beyond reactive measures to embrace anticipatory ethics, providing a blueprint for designing AI that actively promotes human flourishing.
It details the "why" and the "how" for creating a future where technology empowers, rather than endangers, humanity. This comprehensive exploration is essential reading for AI developers, researchers, policymakers, business leaders, ethicists, students, and any citizen concerned about shaping a responsible and beneficial future with artificial intelligence. Take the crucial step towards ensuring a human-centered AI future.
Artificial Intelligence promises a revolutionary future, but unchecked, it poses risks from algorithmic bias and manipulation to job displacement and even existential threats. How do we ensure this transformative technology serves humanity, not the other way around?Existing ethical guidelines often fall short - vague, unenforceable, lagging behind the accelerating pace of AI development. We need more than well-intentioned principles; we need a robust, verifiable foundation for building safe and beneficial AI.
The Human-Centered AI Imperative presents that foundation. Authored by systems designer Sol Roth, this book introduces a groundbreaking framework built not on suggestions, but on unshakeable, objectively verifiable axioms - fundamental truths embedded into the core of AI systems. Discover a new paradigm for AI ethics designed to guarantee alignment with human values. Inside, you'll explore: The Core Principles: A comprehensive breakdown of essential ethical principles, including Human Oversight, Beneficence, Transparency, Fairness, Privacy, and Non-Aggression.
The Axiomatic Foundation: Understand the revolutionary approach of using immutable axioms to create inherently trustworthy and logically consistent AI. Novel Safety Protocols: Learn about Cross-Validated AI (CVAI) and the Triple-AI Safety Protocol (TASP) - practical mechanisms for mitigating risks in high-stakes applications. Practical Implementation: Discover actionable steps for developers and organizations, including Algorithmic Impact Assessments (AIAs), red-teaming, explainable AI (XAI), data governance, and the crucial role of instruction sets.
Addressing Key Challenges: Explore specific ethical considerations for Large Language Models (LLMs) and the hypothetical implications of AI sentience. The Imperative of Education: Understand why building an ethically aware workforce and an informed public is critical. The Human-Centered AI Imperative moves beyond reactive measures to embrace anticipatory ethics, providing a blueprint for designing AI that actively promotes human flourishing.
It details the "why" and the "how" for creating a future where technology empowers, rather than endangers, humanity. This comprehensive exploration is essential reading for AI developers, researchers, policymakers, business leaders, ethicists, students, and any citizen concerned about shaping a responsible and beneficial future with artificial intelligence. Take the crucial step towards ensuring a human-centered AI future.
The Human-Centered AI Imperative presents that foundation. Authored by systems designer Sol Roth, this book introduces a groundbreaking framework built not on suggestions, but on unshakeable, objectively verifiable axioms - fundamental truths embedded into the core of AI systems. Discover a new paradigm for AI ethics designed to guarantee alignment with human values. Inside, you'll explore: The Core Principles: A comprehensive breakdown of essential ethical principles, including Human Oversight, Beneficence, Transparency, Fairness, Privacy, and Non-Aggression.
The Axiomatic Foundation: Understand the revolutionary approach of using immutable axioms to create inherently trustworthy and logically consistent AI. Novel Safety Protocols: Learn about Cross-Validated AI (CVAI) and the Triple-AI Safety Protocol (TASP) - practical mechanisms for mitigating risks in high-stakes applications. Practical Implementation: Discover actionable steps for developers and organizations, including Algorithmic Impact Assessments (AIAs), red-teaming, explainable AI (XAI), data governance, and the crucial role of instruction sets.
Addressing Key Challenges: Explore specific ethical considerations for Large Language Models (LLMs) and the hypothetical implications of AI sentience. The Imperative of Education: Understand why building an ethically aware workforce and an informed public is critical. The Human-Centered AI Imperative moves beyond reactive measures to embrace anticipatory ethics, providing a blueprint for designing AI that actively promotes human flourishing.
It details the "why" and the "how" for creating a future where technology empowers, rather than endangers, humanity. This comprehensive exploration is essential reading for AI developers, researchers, policymakers, business leaders, ethicists, students, and any citizen concerned about shaping a responsible and beneficial future with artificial intelligence. Take the crucial step towards ensuring a human-centered AI future.
