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The Algorithmic Code of Ethics : Ethics at Bedside of Digital Revolution.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Half-Title Page; Title Page; Copyright Page; Contents; Foreword; Acknowledgments; Introduction; I.1. Preamble; I.2. Technical revolutions through time; I.3. Emergence and multiform omnipresence of NICTs in society; I.3.1. Big data; I.3.2. The Internet of Things; I.3.3. Algorithms; I.3.4. Blockchain; I.3.5. NBIC; I.3.6. Artificial Intelligence (AI); I.3.7. Quantum computing; 1. Ethics at the Service of Digital Technology; 1.1. Towards a new paradigm of the digital society; 1.2. Questions regarding the algorithmic universe; 1.3. Ethics as a digital compass.
- 1.4. Ethical challenges and risks regarding algorithmic processing1.5. The environmental parameters of digital technology; 1.6. What is the place of mankind in this digital society?; 2. The Code is Ethics and Ethics is the Code; 2.1. Nature, the creator of codes, programming and algorithms; 2.2. Algorithmic Darwinism; 2.3. The evolutionary digital world; 2.4. Environmental ethics; 2.5. Algorithmic ethics; 2.5.1. The symbiotic bridge between algorithms and ethics; 2.5.2. Trust at the heart of a new ethics; 2.5.3. The "blockchainization" of ethics.
- 3.2. Scenarios for the digital economy3.2.1. Scenario 1: the generalization and commercialization of algorithms combined with Platform as a Service (PaaS) tools; 3.2.2. Scenario 2: organization into silos independent of data producers and algorithmic processing specialists; 3.2.3. Scenario 3: domination of AI leaders via proprietary algorithms with unparalleled performances; 3.3. An algorithm's ethical rules; 3.4. Ethical evaluation of algorithmic processing; 3.4.1. Evaluation of data and practices; 3.4.2. Evaluating the algorithm and its practices.
- 3.5. The framework surrounding algorithmic systems3.5.1. Digital governance; 3.5.2. Digital regulation; 3.5.3. Digital confidence; 3.5.4. Algorithmic responsibility; 3.6. Ethical management and direction framing algorithmic systems; Conclusion; Appendix; A.1. Criteria for evaluating the quality of a source code; A.2. CERNA's recommendations on machine learning; A.3. The ADEL's objectives and contributions; A.3.1. Providing an ethical framework for automated information systems (IS) to guarantee meaning, confidence and security for society.