Machine behaviour | Nature
Understanding the behaviour of the machines powered by artificial intelligence that increasingly mediate our social, cultural, economic and political interactions is essential to our ability to control the actions of these intelligent machines, reap their benefits and minimize their harms.
Subjects Computer science Human behaviour Research management Abstract Machines powered by artificial intelligence increasingly mediate our social, cultural, economic and political interactions. Understanding the behaviour of artificial intelligence systems is essential to our ability to control their actions, reap their benefits and minimize their harms. Here we argue that this necessitates a broad scientific research agenda to study machine behaviour that incorporates and expands upon the discipline of computer science and includes insights from across the sciences. We first outline a set of
related reading
- Dario Amodei — The Adolescence of Technologydarioamodei.com
- AI as Normal Technology | Knight First Amendment Instituteknightcolumbia.org
- Gradual Disempowermentgradual-disempowerment.ai
- Focus areas for The Anthropic Instituteanthropic.com
- What failure looks like — LessWronglesswrong.com
- Thinking Machines Labthinkingmachines.ai
- Recommendations for Technical AI Safety Research Directionsalignment.anthropic.com
- GitHub - suzana-ilic/study_model_behavior: Model Behavior Study Groupgithub.com
- Dario Amodei — The Adolescence of Technologydarioamodei.com
- Brain dump on the diversity of AI risk | Jascha’s blogsohl-dickstein.github.io
- The Case Against AI Control Research — LessWronglesswrong.com
- Alignment of Complex Systems Research Group – ACS Research Programacsresearch.org