Responsible AI refers to the moral, legal, and social responsibility of all relevant actors in the design, development, management, use, and maintenance of AI systems (including designers, developers, managers,This means that these roles need to ensure that AI systems are designed and used ethically and legally, follow the principles of fairness, transparency, interpretability, privacy protection, and actively take steps to minimize the potential negative impact.Responsible AI is designed to ensure that AI technologies are aligned with human values and have a positive impact on society and individuals.
But the name "responsible artificial intelligence" tends to create the illusion that it is a moral and ethical AI system capable of thinking for itself, making informed decisions, and taking responsibility for its actions.Therefore, "responsible artificial intelligence" needs to emphasize that it is not the responsibility of artificial intelligence systems, but the responsibility of humans.
Human-machine environment system intelligence refers to connecting people and machines and the environment to build an intelligent system that allows machines to "understand" and "adapt" to human needs and changes in the environment.Human-machine environmental system intelligence involves human cognition, machine learning, perception technology, natural language processing, use environment and other cross-cutting technologies.
Human-machine environmental system intelligence includes a comprehensive understanding of AI technologies and their application to society and the environment for sustainable development and the public good.The core of human-machine environmental system intelligence is to combine AI technology with social, environmental and human values, focusing on the impact of AI development and application on society, and how to ensure AI development is in the public interest and ethical principles.In human-machine environmental system intelligence, AI development needs to consider the sustainability and environmental impact of technology, which means that when developing and applying AI technology, resource efficiency, environmental sustainability and environmental impact are considered.In addition, human-machine environmental system intelligence also emphasizes the safety and governance of artificial intelligence.Along with the rapid development of artificial intelligence technology, there is a need to ensure the security of artificial intelligence systems and prevent malicious use and abuse.At the same time, it is also necessary to establish corresponding governance mechanisms and norms to ensure that the development and application of artificial intelligence are in line with public interestsTherefore, human-machine environmental system intelligence is an overall ecological consideration of the development, safety and governance of artificial intelligence, aiming to integrate artificial intelligence technology with society and the environment.
In the context of responsible artificial intelligence and human-machine environmental system intelligence, responsibility refers to the responsibility of people, not machines.This means that whether developing, designing, testing, or using AI, human responsibilities and obligations need to be taken into account, and that machine intelligence behaves ethically and legally in a particular context of use.Responsible AI also includes a range of technologies and approaches, such as transparency, interpretability, privacy protection, fairness, etc., that can help people better understand and control machine intelligence behavior to ensure it meets ethical and legal requirements.Therefore, responsible artificial intelligence refers to human responsible machine intelligence in a particular use environment, not to the machine itself with a sense of responsibility or moral judgment.
With artificial intelligence, the quality requirements of users, developers, managers and so on will be higher.First, using AI requires some scientific and technical qualities, including an understanding of basic concepts such as algorithms, data analysis, and machine learning.Second, the use of AI also requires good logical thinking and problem-solving skills to correctly analyze and interpret the results of AI.In addition, developing/using/managing AI requires a certain level of cultural literacy and ethical awareness to be able to correctly understand and apply AI technologies to avoid abuse or misuse.Therefore, the popularity and development of artificial intelligence have put forward higher requirements on the quality of people.Therefore, the higher the degree of machine intelligence in human-machine cooperation, the higher the requirement for human intelligence, because with the improvement of machine intelligence, machines can handle more complex and large tasks and data.Improved machine intelligence means that machines can perform more tasks automatically and can perform more in-depth analysis and reasoning.However, machine intelligence still has limitations and cannot completely replace human intelligence.In human-machine collaboration, human intelligence is required to become more involved in decision-making, creation, judgment, and problem-solving.The role of human intelligence in human-machine collaboration has two main aspects.First, human intelligence can provide the ability to understand and judge complex problems.Although machines can perform large-scale data analysis, humans can take a more comprehensive look at things like intuition, experience, and moral judgment.Second, human intelligence can provide supervision and management of machine intelligence.As the level of machine intelligence increases, supervision and management of machine intelligence becomes more important.Humans can review and correct decisions made by machines to ensure that their behavior conforms to human values and ethical standards.Therefore, with the improvement of machine intelligence, the demand for human intelligence has also increased accordingly.Humans need higher levels of cognitive, creative, ethical judgment and supervisory management to work more effectively with machines.
All in all, responsible artificial intelligence and human-machine environmental system intelligence complement each other.The development of responsible artificial intelligence depends on the technical support of human-machine environmental system intelligence, and the development of human-machine environmental system intelligence requires responsible human guidance and supervision.By integrating responsible values and ethical principles into the design and implementation of human-machine environmental system intelligence, AI technologies can be promoted to ensure their positive impact on people and the environment.