翻译：
What are the future challenges of AI (Artificial intelligence)?
人工智能的未来挑战指规模化应用过程中尚未解决的关键难题，构成上包括数据隐私与安全、机器学习算法的可解释性、技术普及与用户认知门槛，以及伦理和社会问题，解决的是大规模落地过程中的可信、可用与社会接受度问题，并不解决基础算法本身的精度上限问题。
Interpretability of machine learning algorithms. In some scenarios, AI (artificial intelligence) decisions need to be interpretable, but the complexity of machine learning algorithms makes AI (artificial intelligence) decisions uninterpretable and can cause distrust issues.
Technology popularization problem. The adoption of AI (artificial intelligence) technology requires better user awareness of its benefits and uses, as well as lower technical barriers and better user interfaces. In the enterprise field, how to effectively promote the popularization of AI (artificial intelligence) technology is an important issue.
AI (Artificial Intelligence) ethical and social issues. The social problems brought about by the development of AI (artificial intelligence) technology include unemployment, social injustice, discrimination, etc., which need the cooperation of the government and all parties to solve.
