Baozi, the current technological development is changing with each passing day! Artificial intelligence (AI) is permeating all aspects of our lives as an innovative force. From the intelligent voice assistant during daily chats, to the autonomous driving cars shuttled through urban roads, to key areas such as medical care and finance, the existence of AI has reshaped our working model and life state.

However, as the application scope of AI continues to expand, a series of ethical problems have also followed, arousing widespread attention and heated discussions around the world. Today, let’s analyze in-depth issues related to artificial intelligence ethics together.

AI is developing strongly, and ethical challenges are emerging

Since 2022, the emergence of the generative artificial intelligence (AIGC) model has brought unprecedented explosive growth to the AI ​​industry. Taking the GPT series as an example, it has demonstrated amazing capabilities in the field of natural language processing, able to have smooth and natural dialogues with users, and can also create articles with different styles to achieve accurate and efficient text translation. It is an industry The best in this type of image generation model can quickly generate extremely textured images based on the user's simple description, and the generation effect is amazing.

However, behind prosperity, there are many hidden dangers. During the technical research and development stage, there are many loopholes in the data acquisition and use process. Training a model requires a lot of data support, and these data are most likely to contain the user's personal privacy information. Looking back at the data scandal exposed in 2018, the data scandal was used to obtain personal data from tens of millions of users. This data was used to accurately place political advertising and voter psychological analysis, and even used to train AI models to achieve election results. This has had an impact and the user's privacy has been seriously violated. In addition, algorithm design is also prone to deviations. The survey shows that the crime risk assessment algorithm used in some parts of the United States has obvious bias against black people, and the probability of decriminating black people as high-risk people is far higher than that of white people, which undoubtedly causes black people to be in the judicial trial process. Great unfairness.

As we enter the stage of product research and development and application, problems are also emerging one after another. The widespread popularity of AI products has made human dependence on them increasingly deepen. Take the incident of Uber's self-driving test car hitting and killing pedestrians in Tempe, Arizona in March 2018. This is the first case of a death in an autonomous vehicle. The investigation found that although the autonomous driving system detected pedestrians, it failed to respond correctly, and the safety officers on the car failed to take effective measures in a timely manner because they were overly reliant on the autonomous driving functions. In addition, the authenticity and copyright issues of AI-generated content have always been controversial. On social media, some fake news generated by AI spread everywhere, seriously interfering with the public's perception and judgment of real events; and the copyright ownership of AI-generated content has not yet been clearly defined, such as images generated by photographers using AI He participated in the competition and won the award, but he caused fierce copyright disputes because he used a large amount of copyrighted image data during the image generation process.

All parties work together to explore AI ethical principles and governance paths

Faced with these difficult ethical issues, all walks of life have taken action to actively explore AI ethical principles and governance methods. In 2018, Baidu founder Robin Li proposed the four principles of AI ethics at the Guiyang Big Data Expo: the primary principle is to be safe and controllable, ensuring that AI products will not cause any harm to humans; the goal of innovation is to promote humans to obtain technical capabilities more equitably. , avoid technological gaps further increasing social inequality; the value of AI lies in helping humans learn and grow, rather than replacing humans; the ultimate vision is to create more space and possibilities for free development for humans. These four principles have laid a solid foundation for the development of AI ethics.

National and international organizations are also taking active actions. The National New Generation Artificial Intelligence Governance Professional Committee has promulgated the "Next Generation Artificial Intelligence Governance Principles - Develop Responsible Artificial Intelligence", which has built an ethical framework for the development of AI, and emphasized core elements such as harmony, fairness, inclusion and security. A report released by the China Academy of Information and Communications Technology pointed out that risk assessment should be carried out for different AI application scenarios and corresponding governance strategies should be formulated. At the international level, countries have strengthened cooperation and exchanges to jointly discuss the global rules of AI governance. For example, the EU issued the "Ethical Guidelines for Trusted Artificial Intelligence" in 2019, committed to ensuring that artificial intelligence systems can comply with ethical and legal requirements throughout their life cycle and push AI to develop in a trustworthy direction.

In-depth analysis of AI ethical issues in the fields of medicine and education

In the field of medicine, AI is increasingly widely used. The AI ​​system can quickly analyze medical image data, providing powerful assistance to doctors' disease diagnosis, greatly improving the efficiency and accuracy of diagnosis. But what follows is the question of vague definition of responsibility. IBM for was once highly expected and used to assist in cancer treatment decisions. However, in actual application, it gave some wrong treatment suggestions, and even recommended some unapproved or unsuitable drugs. Once an AI system is misdiagnosed, there is no clear conclusion on how to divide the responsibilities between developers, doctors and medical institutions. At the same time, patient data privacy protection is also crucial. In 2017, a data breach occurred in a US medical insurance company. The personal information of about 80 million customers, including names, birthdays, social insurance numbers, addresses and medical records, was leaked, and the privacy and security of patients were seriously threatened.

In the field of education, AI can realize personalized learning and provide targeted learning resources and guidance based on students' specific situation. But this may also exacerbate the imbalance in the allocation of educational resources. Economically developed areas and wealthy families can better utilize AI education resources, while poor areas and vulnerable groups are even more difficult to reach. Some online education platforms use AI to provide one-to-one counseling services, but their high prices make it affordable for only a few families. In addition, AI-assisted teaching may weaken emotional communication between teachers and students and have a certain impact on students' comprehensive development. For example, some online courses that rely entirely on AI to teach, lack face-to-face interaction between students and teachers, which will to a certain extent affect students' learning enthusiasm and the cultivation of interpersonal communication skills.

Looking to the future, build a sustainable AI ethical ecosystem

Looking ahead, AI technology will continue to develop rapidly, and the ethical issues it faces will become increasingly complex. To build a sustainable AI ethical ecosystem, we must first increase investment in technology research and development, improve data management and algorithm optimization capabilities, and reduce the risks of data bias and privacy leakage from the source. Secondly, we must continuously improve laws, regulations and regulatory mechanisms, and clarify the responsible parties and behavioral norms of all parties in the process of AI research and development and application. Finally, we must vigorously strengthen public education, improve the public's awareness and understanding of AI ethical issues, and encourage the public to actively participate in AI ethical governance.

The ethics of artificial intelligence is a complex and urgent major issue, which concerns the future development direction of mankind. Only when the government, enterprises, scientific research institutions and the general public work together can AI technology develop healthily within a reasonable ethical framework and create a better tomorrow for mankind!