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Shakespeare and the Authorship of the Sonnets - An Oxfordian Reading: Dennis Hirsch Shakespeare and the Authorship of the Sonnets - An Oxfordian Reading
Dennis Hirsch
R1,117 Discovery Miles 11 170 Ships in 12 - 19 working days

The persona of Edward de Vere represents a counterpoint to the canonical, Stratfordian image of Shakespeare. His adulterous affair with a teenage girl half his age, his complicity in acts of treason against Queen Elizabeth, and the bankruptcy of his earldom because of his lavish spending all combine to paint a picture of a man nearly antithetical to the Stratfordian ideal. However, it is this unattractive portrayal of him that supports the argument that de Vere wrote the sonnets, since the sonnets themselves offer up underlying messages of ridicule, deception, avarice, and sexual obsession that doggedly champion the author's own best interests above others. This work presents an Oxfordian reading of the sonnets and the problematic life of Edward d Vere, the 17th Earl of Oxford.

Data Ethics Management - Emerging Models for the Governance of Advanced Analytics and AI (Paperback, 1st ed. 2024): Dennis... Data Ethics Management - Emerging Models for the Governance of Advanced Analytics and AI (Paperback, 1st ed. 2024)
Dennis Hirsch, Tim Bartley, Aravind Chandrasekaran, Davon Norris, Srinivasan Parthasarathy, …
R1,053 Discovery Miles 10 530 Ships in 10 - 15 working days

This open access book explains why, in today's economy, companies need to implement artificial intelligence (AI) in a responsible and ethical way and how they can go about doing so. Business use of AI can produce tremendous insights and benefits. But it can also invade privacy, perpetuate bias, and produce other harms that injure people and damage business reputation. The authors interviewed and surveyed AI ethics managers at leading companies. They asked why these experts see AI ethics as important, and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way that readers should be able to apply to their own organizations. Much of the existing writing on AI ethics focuses either on macro-level AI ethics principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: AI ethics management. This third component consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level AI ethics principles and to guide and hold accountable their developers.  AI ethics management is the connective tissue that makes AI ethics principles real. It is the focus of this book. This book provides a “snapshot” of AI ethics management at an array of highly sophisticated, AI-enabled companies. Other organizations, at an earlier stage in their AI journeys, should be able to draw from it useful lessons on how they, too, can pursue ethical and responsible AI and so succeed in the AI-driven economy.

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