(1) Human centric
Utilization of AI should not infringe upon fundamental human rights that are guaranteed by the Constitution and international norms.
AI should be developed and utilized and implemented in society to expand the abilities of people and to pursue the diverse concepts of happiness of diverse people. In the AI utilized society, it is desirable that we implement appropriate mechanisms of literacy education and promotion of proper uses, so as not to over depend on AI or not to ill manipulate human decisions by exploiting AI.
AI can expand human abilities and creativity not only by replacing part of human task but also by assisting human as an advanced instrument.
When using AI, people must judge and decide for themselves how to use AI. Appropriate stakeholders involved in the development, provision, and utilization of AI should be responsible for the result of AI utilization, depending on the nature of the issue.
In order to avoid creating digital divide and allow all people to reap the benefit of AI regardless of their digital expertise, each stakeholder should take into consideration to user friendliness of the system in the process of AI deployment.
(6) Fairness, Accountability, and Transparency
Under the "AI Ready society", when using AI, fair and transparent decision making and accountability for the results should be appropriately ensured, and trust in technology should be secured, in order that people using AI will not be discriminated on the ground of the person's background or treated unjustly in light of human dignity.
Under the AI design concept, all people must be treated fairly without unjustified discrimination on the grounds of diverse backgrounds such as race, sex, nationality, age, political beliefs, religion, etc.
Appropriate explanations should be provided such as the fact that AI is being used, the method of obtaining and using the data used in AI, and the mechanism to ensure the appropriateness of the operation results of AI according to the situation AI is used.
In order for people to understand and judge AI proposals, there should be appropriate opportunities for open dialogue on the use, adoption and operation of AI, as needed.
In order to ensure the above viewpoints and to utilize AI safely in society, a mechanism must be established to secure trust in AI and its using data.
III. Privacy and Data Governance
Privacy and data protection must be guaranteed at all stages of the AI system’s life cycle. Digital records of human behaviour may allow AI systems to infer not only individuals’ preferences, age and gender but also their sexual orientation, religious or political views. To allow individuals to trust the data processing, it must be ensured that they have full control over their own data, and that data concerning them will not be used to harm or discriminate against them.
In addition to safeguarding privacy and personal data, requirements must be fulfilled to ensure high quality AI systems. The quality of the data sets used is paramount to the performance of AI systems. When data is gathered, it may reflect socially constructed biases, or contain inaccuracies, errors and mistakes. This needs to be addressed prior to training an AI system with any given data set. In addition, the integrity of the data must be ensured. Processes and data sets used must be tested and documented at each step such as planning, training, testing and deployment. This should also apply to AI systems that were not developed in house but acquired elsewhere. Finally, the access to data must be adequately governed and controlled.
3. New technology, including AI systems, must be transparent and explainable
For the public to trust AI, it must be transparent. Technology companies must be clear about who trains their AI systems, what data was used in that training and, most importantly, what went into their algorithm’s recommendations. If we are to use AI to help make important decisions, it must be explainable.
4. Adopt a Human In Command Approach
An absolute precondition is that the development of AI must be responsible, safe and useful, where machines maintain the legal status of tools, and legal persons retain control over, and responsibility for, these machines at all times.
This entails that AI systems should be designed and operated to comply with existing law, including privacy. Workers should have the right to access, manage and control the data AI systems generate, given said systems’ power to analyse and utilize that data (See principle 1 in “Top 10 principles for workers’ data privacy and protection”). Workers must also have the ‘right of explanation’ when AI systems are used in human resource procedures, such as recruitment, promotion or dismissal.