"Language diversity on the African continent is both a cultural strength and a technological challenge. With over 2,000 spoken languages, mainstream artificial intelligence tools have largely ignored the vast majority of African languages, creating a significant barrier to the full participation of
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African communities in the global digital economy. But that’s about to change, thanks to the work of Lelapa AI that recently launched InkubaLM, a groundbreaking AI language model designed for low-resource African languages." (Introduction)
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"The coming of artificial intelligence (AI), dramatically signaled by the release of ChatGPT 3.5 in November 2022, sparked varied reactions and questions in various sectors and industries, including the field of education. Prior to this, AI technology has been gaining ground with its various applica
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tions, yet it still managed to take many by surprise. After the initial panic and apprehension about the use of these increasingly powerful technologies, discussions have begun as to how to effectively manage the threats and maximize the affordances brought by these rapidly emerging developments. The growing discourse and literature on this subject confirm the relevance and urgency of this issue today. Gathering the concerns and insights from these ongoing conversations, this paper aims to explore the challenges and opportunities brought by AI to education in general and to religious education in particular, with the aim of naming potential risks and identifying possible areas that can be harnessed by religious educators today." (Abstract)
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"The main recommendations we propose are:
1. Before proceeding with any development, analyze the need and social value of it. Consider the potential benefits and drawbacks of implementing the project.
2. Define the problem to be solved in non-technical terms, based on the joint reflection of the par
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ties interested in developing an AI application. Consider the possible secondary uses of the application of the project and its possible harmful effects.
3. Analyze the data sources with which the model may be trained, taking into consideration the protection of personal data and intellectual property. Pay close attention to potential biases to ensure that all groups are adequately and non-discriminatorily represented, with a special focus on minorities.
4. When training and evaluating predictive models, incorporate a methodology for checking well-known limitations of models that lead to pernicious results: underrepresented classes, majority classes, a tendency to overfit, etc. Incorporate also more general error analysis to detect previously unknown limitations.
5. Carry out deployment in phases, accompanied by the corresponding monitoring mechanisms for early detection of pernicious effects of the implementation of the system in actual contexts, incorporating different perspectives into the analysis of the behavior of the system.
Equity analysis must be transversal, i.e., a reflective resource present throughout the entire system development and construction process, rather than being applied only when evaluating the discriminatory impacts of a system after it has been deployed." (Executive Summary)
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"[...] While many AI deployments serve public interest, journalists also need insight and expertise to alert about aspects like exclusions, unequal benefits, and violations of human rights. As part of its journalism education series, UNESCO’s International Programme for the Development of Communic
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ation (IPDC) has supported the World Journalism Education Council in commissioning this handbook. The aim is to inspire and empower so that journalism educators can help both journalism students and working journalists do justice to one of the major issues of our times. The handbook covers: understanding machine intelligence and identifying different types of AI; exploring AI’s potential, as well as its strengths and weaknesses; imagining diverse futures with AI by recognising pervasive popular narratives that inform public consciousness; understanding journalism’s role in mediating and shaping AI discourse; finding ways of reporting about AI in a nuanced, realistic and accountable manner; making connections to existing genres of journalism, ranging from general news reporting to data journalism." (Short summary)
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"This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local com
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puter science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration." (Publisher description)
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"This open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African valu
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es, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa." (Publisher description)
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"This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexit
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ies and stakeholder perspectives." (Publisher description)
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"This open access book aims to give our readers a basic outline of today's research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the fundamental and co
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mmon theories and methodologies that are widely accepted in AI research and application. This book is written in comprehensible and plain language, featuring clearly explained theories and concepts and extensive analysis and examples. Some of the traditional findings are skipped in narration on the premise of a relatively comprehensive introduction to the evolution of artificial intelligence technology. The book provides a detailed elaboration of the basic concepts of AI, machine learning, as well as other relevant topics, including deep learning, deep learning framework, Huawei MindSpore AI development framework, Huawei Atlas computing platform, Huawei AI open platform for smart terminals, and Huawei CLOUD Enterprise Intelligence application platform." (Publisher description)
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"The study highlights that generative AI like ChatGPT operates on a limited and non-representative African corpus, making it selective on what is considered civil and uncivil language, thus limiting its effectiveness in the region. However, the study also suggests that in the absence of representati
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ve corpora, generative AI tools like ChatGPT present an opportunity for effective journalism practice in that journalists cannot completely rely on the tools. Practical implications: The study emphasizes the need for human agencies to provide relevant information to the tool, thus contributing to a global database, and to consider diverse data sources when designing AI tools to minimize biases and stereotypes." (Abstract)
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"The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and so
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cial problems, and present some existing and potential solutions. At the same time, the contributors highlight the societal and attending economic hopes and fears, utopias and dystopias that are associated with the current and future development of artificial intelligence." (Publisher description)
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