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This book allows a reader with a background in computing to quickly learn about the principles of human language and computational methods for processing it. The book discusses what natural language processing (NLP) is, where it is useful, and how it can be deployed using modern software tools. It covers the core topics of modern NLP, including an overview of the syntax and semantics of English, benchmark tasks for computational language modelling, and higher level tasks and applications that analyze or generate language. It takes the perspective of a computer scientist. The primary themes are abstraction, data, algorithms, applications and impacts. It also includes history and trends that are important for understanding why things have been done the way that they have.

Digital skills for work and for life are at the top of the European Policy Agenda. The EU digital skills strategy and related policy initiatives have the objective of enhancing digital skills and competences for the digital transformation. The European Skills Agenda, of 1 July 2020, supports digital skills for all, including by supporting the objectives of the Digital Education Action Plan, which has the objectives of i) en-hancing digital skills and competences for the digital transformation while ii) fostering the development of a high-performing digital education system. The Digital Compass and the European Pillar of Social Rights Action Plan set the ambitious policy targets of reaching a minimum of 80% of the population with basic digital skills and having 20 million ICT specialists by 2030. BACKGROUND: DigComp was first published in 2013, as a reference framework to support the development of digital competence of individuals in Europe. It has been regularly updated to include newer examples of the digital competencies described. The latest iteration (DigComp 2.2) was published in March 2022. DigComp describes which competencies are needed by today's citizens to use digital technologies in a confident, critical, collaborative and creative way to achieve goals related to work, learning, leisure, inclusion and participation in our digital society. DigComp is developed by the Joint Research Centre (JRC) of the European Commission. More than 200 experts and a variety of stakeholders from EU Member States are involved in developing and updating DigComp. SUMMARY: DigComp is designed to be an enabling, descriptive rather than prescriptive reference framework for digital competence. Users themselves can adapt the content level of competencies if they wish to do so. There are five dimensions to the framework: (1) the digital competence areas (2) the component competencies under each area (3) the proficiency levels and (4) definitions of the 'skills', 'knowledge' and 'attitudes' comprising each competence and (5) case examples. DigComp has 5 digital competence areas: Information and data literacy; Communication and collaboration; Digital content creation; Safety; and Problem solving. Each competence area is further specified into 21 component competencies. DigComp maps out 4 proficiency levels (foundation, intermediate, advanced, highly specialised). These 4 proficiency levels are sub-divided into 8 levels offering a more detailed description of progression criteria. The definitions of the necessary knowledge, skills and attitudes and case examples provide the potential to develop learning materials, assess and recognise learning progression. ADDITIONAL INFORMATION: Digcomp has been used in more than 20 European countries. It has been used to support TVET for a range of different occupational groups including teachers and school staff, secretary/administrative staff, new museum professionals, social workers and youth workers. TARGET GROUP(S): Policy makers; Teachers/trainers; Labour market partners (employers and unions) [adapted from UNESCO]

The goal of the Artificial Intelligence (AI) Ethics for Nonprofits toolkit is to build capacity in the social impact sector to design, deploy and use AI responsibly and ethically. This first installment of the AI Ethics for Nonprofits toolkit provides the materials you need to host an AI Ethics Workshop focused on the ethical considerations related to the principle of Fairness, including: Facilitators Guide Workshop deck Supporting materials In this workshop, participants will learn some of the fundamentals of AI ethics and then immediately get to practice applying ethical considerations related to the principle of Fairness in the context of several humanitarian and international development use cases. The workshop includes a significant practical segment because those of us in the nonprofit sector who are on point to conceptualize, build, manage, and deploy AI solutions need to know how to operationalize the ethical principles like Fairness

When it was originally published in 2002, Sue Curry Jansen's "What Was Artificial Intelligence?" attracted little notice. The long essay was published as a chapter in Jansen's Critical Communication Theory, a book whose wisdom and erudition failed to register across the many fields it addressed. One explanation for the neglect, ironic and telling, is that Jansen's sheer scope as an intellectual had few competent readers in the communication studies discipline into which she published the book. "What Was Artificial Intelligence?" was buried treasure. In this mediastudies.press edition, Jansen's prescient autopsy of AI self-selling-the rhetoric of the masculinist sublime-is reprinted with a new introduction. Now an open access book, "What Was Artificial Intelligence?" is a message in a bottle, addressed to Musk, Bezos, and the latest generation of AI myth-makers.