How can software engineers improve transparency in AI systems?
Artificial intelligence (AI) systems are increasingly used to make decisions that affect people's lives, such as health care, education, or finance. However, many AI systems are opaque, meaning that their inner workings, logic, and reasoning are not easily understandable or explainable by humans. This can lead to ethical, legal, and social issues, such as bias, discrimination, accountability, and trust. How can software engineers improve transparency in AI systems? Here are some tips and best practices to consider.