Progress in AI and the Challenges of Ethical AI Implementation

Over the past decade, artificial intelligence (AI) has made significant progress, with deep learning and neural networks driving advancements in various fields. However, a major challenge has been ensuring the ethical and fair behavior of AI systems. Common sense, a fundamental aspect of AI, remains one of the biggest obstacles in achieving artificial general intelligence (AGI). While commercial applications have seen success in areas like face recognition and image classification, common sense understanding is still lacking. The integration of deep learning and reinforcement learning has revolutionized AI, particularly in areas like game playing and language translation. However, the progress towards AGI and the development of AI that exhibits human-like common sense require further breakthroughs and a focus on embodiment and interaction with the physical world. Exploration and research in new directions outside the deep learning paradigm are essential for achieving these goals.