For producing this material, the reporter traveled to Barcelona, Seattle (invited by Microsoft), Toronto (invited by IBM) and Las Vegas (invited by AWS).
The texts were based in over 150h of contend gathered in person in 2019, including interviews, speeches, technical training and debates. Besides, there were over 12h of interviews through electronic devices (phone and videocalls).
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Multiple articles and books helped throughout the reporting. The most important ones were:
AI Guidelines
European Union: Orientações éticas para uma IA de confiança
Unesco: Human Decisions: Thoughts on AI
IEEE: Ethically Aligned Design
United Nations: United Nations Activities on Artificial Intelligence (AI)
Google: Artificial Intelligence at Google: Our Principles
IBM: Everyday Ethics for Artificial Intelligence
Microsoft: AI principles
Books
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)
Papers
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
Other
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