Capítulo 6
Extras

Fontes, bibliografia e apuração do especial sobre inteligência artificial da Folha

Veja o material usado para embasar este conteúdo, incluindo livros, artigos científicos e outros documentos

Raphael Hernandes

Para produzir esse especial, a reportagem viajou para Barcelona, Seattle (a convite da Microsoft), Toronto (a convite da IBM) e Las Vegas (a convite da AWS).

Os textos foram baseados em cerca de 150h de conteúdo coletado pessoalmente entre fevereiro e dezembro de 2019, entre entrevistas, palestras, treinamentos técnicos e debates. Além disso, foram mais aproximadamente 12 horas de entrevistas por meio eletrônico (telefone e videochamada).

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Vários artigos e livros ajudaram a embasar estas reportagens. Alguns dos principais foram:

Princípios e diretrizes para uso de IA

União Europeia: Orientações éticas para uma IA de confiança

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

Livros

Neural Networks and Deep Learning (Michael Nielsen)

Tools and Weapons: The Promise and the Peril of the Digital Age (Brad Smith, Penguin Press)

Superinteligência: Caminhos, Perigos, Estratégias (Nick Bostrom, DarkSide Books)

Artigos 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

Outros textos

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