Para producir este especial, el periódico viajó a Barcelona, Seattle (por invitación de Microsoft), Toronto (por invitación de IBM) y Las Vegas (por invitación de AWS).
Los textos se basaron en aproximadamente 150 horas de contenido recopilado personalmente entre febrero y diciembre de 2019, incluidas entrevistas, conferencias, capacitación técnica y debates. Además, hubo aproximadamente 12 horas de entrevistas a través de medios electrónicos (teléfono y video llamada).
*
Varios artículos y libros ayudaron a respaldar estos informes. Algunos de los principales fueron:
Principios y pautas para el uso de IA
Unión Europea: Directrices éticas para una IA fiable
Unesco: Human Decisions: Thoughts on AI
IEEE: Ethically Aligned Design
ONU: United Nations Activities on Artificial Intelligence (AI)
Google: Artificial Intelligence at Google: Our Principles
IBM: Everyday Ethics for Artificial Intelligence
Microsoft: AI principles
Libros
Neural Networks and Deep Learning (Michael Nielsen)
Tools and Weapons: The Promise and the Peril of the Digital Age (Brad Smith, Penguin Press)
Superintelligence: Paths, Dangers, Strategies (Nick Bostrom, OUP Oxford)
Artículos científicos
Pat Langley: The changing science of machine learning
François Chollet: On the Measure of Intelligence
Nick Bostrom: Ethical Issues in Advanced Artificial Intelligence
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio: Generative Adversarial Networks
Chris Smith, Brian McGuire, Ting Huang, Gary Yang: The History of Artificial Intelligence
Adrian Weller: Challenges for Transparency
Rafael Calvo, Dorian Peters, Karina Vold, Richard M. Ryan: Supporting human autonomy in AI systems
John McCarthy, Marvin L. Minsky, Nathaniel Rochester, Claude E. Shannon: A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955
Stephen Cave, Kanta Dihal: Hopes and fears for intelligent machines in fiction and reality
Alan M. Turing: Computing Machinery and Intelligence
Scott Mayer McKinney, Marcin Sieniek, [...] Shravya Shetty: International evaluation of an AI system for breast cancer screening
NIST: NIST Study Evaluates Effects of Race, Age, Sex on Face Recognition Software
Otros
Council of Europe: History of Artificial Intelligence
Dataversity: A Brief History of Machine Learning
ISPI: How China Uses Artificial Intelligence to Control Society
Kyle McDonald: How to recognize fake AI-generated images
Robohub: An ethical dilemma: When robot cars must kill, who should pick the victim?
Bernard Marr & Co.: What Is Deep Learning AI? A Simple Guide With 8 Practical Examples
Hacker Noon: General vs Narrow AI
Machina Sapiens: Aprendizagem de Máquina é Divertido!
NVIDIA: What"s the Difference Between Supervised, Unsupervised, Semi-Supervised and Reinforcement Learning?
Towards Data Science: What is AI bias?
Accenture: Artificial Intelligence to Drive South America's Growth
Deloitte: Future in the balance? How countries are pursuing an AI advantage
Oxford Insights: Government Artificial Intelligence Readiness Index 2019
The Brookings Institution: Robots kill jobs. But they create jobs, too.
Financial Times: Why Google thinks we need to regulate AI
Microsoft: Facial recognition: It"s time for action
BBC: Researchers: Are we on the cusp of an "AI winter"?
BBC: Is China gaining an edge in artificial intelligence?
Mercury News: Top AI researchers race to detect "deepfake" videos: "We are outgunned"
Politico: EU considers temporary ban on facial recognition in public spaces
ProPublica: Machine Bias
South China Morning Post: Artificial intelligence is watching China"s students but how well can it really see?
The Seattle Times: AI 101: What is artificial intelligence and where is it going?
The Verge: Why video games and board games aren"t a good measure of AI intelligence
Time: Meet the Researchers Working to Make Sure Artificial Intelligence Is a Force for Good
Wall Street Journal: Tech Giants" New Appeal to Governments: Please Regulate Us
Washington Post: Facebook, Twitter disable sprawling inauthentic operation that used AI to make fake faces
Wired: How AI Will Turn Us All Into Filmmakers
AI Trends: AI Glossary
Artificial-Intelligence.Blog: AI Terminology/Glossary
The New York Times: An A.I. Glossary
Emerj: Everyday Examples of Artificial Intelligence and Machine Learning
Traducido por AZAHARA MARTÍN ORTEGA