What Could Go Wrong?
Accidents
U.S. regulator investigating Tesla's self-driving software after fatal crash.
Ethics and Diversity in Self-Driven Labs. Avoiding biases and harmful discoveries.
AI can perpetuate biases and make unethical decisions, so it's vital for scientists to actively address these issues. The impact of discoveries must also be carefully considered to avoid harm. While self-driven labs can accelerate research, we must balance progress with caution to prevent rushing into consequences we may not fully understand.
Human Oversight. Preventing AI Mistakes.
"Humans should oversee AI experiments to ensure relevant safety and ethical practices are observed."
~Stach et al.[5]
It is crucial for humans to oversee operations to ensure that no potentially dangerous experiments are conducted and to verify that decisions are guiding progress in the right direction.
Revolutionizing Safety. Mitigating Reseach Risks.
Robots can be used to enhance safety by taking on dangerous tasks, reducing risk of injuries, and eliminating repetitive work that causes strain. They can create safer, healthier workplaces for everyone.
