AI that Matter
AI that Matter
Artificial intelligence (AI) has seen rapid growth and innovation in recent years, as evidenced by the boom in AI patent filings. Machine learning represents 40% of all AI patents.
Risks likely increase if AI development happens quickly and in an uncoordinated way across many groups. International cooperation on safety standards could help, but may be difficult to achieve.
Biased data can indeed lead to prejudiced AI models. When the data used to train an AI model contains biases, those biases can be reflected in the model's outputs and decisions. This phenomenon is often referred to as "algorithmic bias."