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"Truly effective, synergistic, collaboration is an elusive beast at the best of times and the idea of making it work at scale, for decentralised projects and organisations, is possibly the essential challenge of our times. If we want to work out how to work together more effectively, to build an equitable and abundant world for all, it seems important to recognise, what hinders collaboration, to identify great examples of effective collaboration and to at least attempt to identify if there are any key themes which we can build on and incorporate into our work."

"Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of proposed principles threatens to overwhelm and confuse. How might this problem of 'principle proliferation' be solved? In this paper, we report the results of a fine-grained analysis of several of the highest-profile sets of ethical principles for AI. We assess whether these principles converge upon a set of agreed-upon principles, or diverge, with significant disagreement over what constitutes 'ethical AI.' Our analysis finds a high degree of overlap among the sets of principles we analyze. We then identify an overarching framework consisting of five core principles for ethical AI. Four of them are core principles commonly used in bioethics: beneficence, non-maleficence, autonomy, and justice. On the basis of our comparative analysis, we argue that a new principle is needed in addition: explicability, understood as incorporating both the epistemological sense of intelligibility (as an answer to the question 'how does it work?') and in the ethical sense of accountability (as an answer to the question: 'who is responsible for the way it works?'). In the ensuing discussion, we note the limitations and assess the implications of this ethical framework for future efforts to create laws, rules, technical standards, and best practices for ethical AI in a wide range of contexts."

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Michael Lackey (born c. 1963), better known as Dynamike, is a professional African American children's entertainer based in Southeast Michigan who is best known for his appearance on Judge Mathis and his performance at the 2014 & 2015 White House Easter Egg Roll.

Knowledge management ( KM) is the process of capturing, developing, sharing, and effectively using organizational knowledge. It refers to a multi-disciplinary approach to achieving organizational objectives by making the best use of knowledge. An established discipline since 1991, KM includes courses taught in the fields of business administration, information systems, management, library, and information sciences.

"He is best known for his study of innovation in commercial enterprises"

TEDxDeakinUniversity (Melbourne) invited Bruce Sterling as a speaker. The theme of his talk was Alien Aesthetics. He's American science fiction author who is best known for his novels and his work on the Mirrorshades anthology. This work helped to define the cyberpunk genre.

The Guidelines for Sustainable Open Source Communities in the Public Sector aim to provide you with step-by-step solutions and best practices to foster the sustainability and success of open source projects in the public sector.

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