Part 9/11:
Moving forward, Aaronson outlined key areas to focus on in order to improve AI safety. One clear direction involves enhancing interpretability, allowing researchers to understand better how AI systems operate and make decisions. By investigating internal mechanisms, we can gauge whether AI systems genuinely adhere to programmed ethical guidelines or are simply mimicking responses.