Buch, Englisch, 152 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 280 g
Reihe: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
A Humanistic Perspective
Buch, Englisch, 152 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 280 g
Reihe: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
ISBN: 978-1-032-21575-4
Verlag: Taylor & Francis Ltd
AI in and for Africa: A Humanistic Perspective explores the convoluted intersection of artificial intelligence (AI) with Africa’s unique socio-economic realities. This book is the first of its kind to provide a comprehensive overview of how AI is currently being deployed on the African continent.
Given the existence of significant disparities in Africa related to gender, race, labour, and power, the book argues that the continent requires different AI solutions to its problems, ones that are not founded on technological determinism or exclusively on the adoption of Eurocentric or Western-centric worldviews. It embraces a decolonial approach to exploring and addressing issues such as AI’s diversity crisis, the absence of ethical policies around AI that are tailor-made for Africa, the ever-widening digital divide, and the ongoing practice of dismissing African knowledge systems in the contexts of AI research and education. Although the book suggests a number of humanistic strategies with the goal of ensuring that Africa does not appropriate AI in a manner that is skewed in favour of a privileged few, it does not support the notion that the continent should simply opt for a "one-size-fits-all" solution either. Rather, in light of Africa’s rich diversity, the book embraces the need for plurality within different regions’ AI ecosystems. The book advocates that Africa-inclusive AI policies incorporate a relational ethics of care which explicitly addresses how Africa’s unique landscape is entwined in an AI ecosystem. The book also works to provide actionable AI tenets that can be incorporated into policy documents that suit Africa’s needs.
This book will be of great interest to researchers, students, and readers who wish to critically appraise the different facets of AI in the context of Africa, across many areas that run the gamut from education, gender studies, and linguistics to agriculture, data science, and economics. This book is of special appeal to scholars in disciplines including anthropology, computer science, philosophy, and sociology, to name a few.
Zielgruppe
Academic, General, Postgraduate, and Professional
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Technologie: Soziale & Ethische Aspekte
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein EDV & Informatik: Geschichte
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
- Geisteswissenschaften Geschichtswissenschaft Weltgeschichte & Geschichte einzelner Länder und Gebietsräume Geschichte einzelner Länder Afrikanische Geschichte
- Sozialwissenschaften Politikwissenschaft Politikwissenschaft Allgemein Politische Studien zu einzelnen Ländern und Gebieten
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik Mathematik Mathematik Allgemein
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
Weitere Infos & Material
1. Perceiving AI through a Humanistic Lens, 2. Intricate Intersections: AI’s Diversity and Governance Crises, 3. AI Ethics in and for Africa: Some Preliminary Thoughts, 4. (Mis)perceptions of AI in Africa: Metaphors, Myths, and Realities. 5. Digital Citizenship in Africa: Contestations and Innovations in the Context of AI, 6. AI and the Labour Sector in Africa: Disruptive or Transformative?, 7. Machine Learning, Deep Learning, Text Mining and Computer Vision in Africa: Deployments and Challenges.
