What is AI governance?

AI (Artificial Intelligence) governance is a concept designed to manage the ethical, legal, social and political dimensions of artificial intelligence technologies. As artificial intelligence becomes increasingly complex and impactful, AI governance provides a framework for understanding, assessing, and regulating the impacts of these technologies on human societies and the environment.

AI governance may include these elements:

**Ethical Principles:**
Determining and applying ethical principles in the development and implementation of artificial intelligence technologies. This may include, for example, promoting the use of fair and transparent algorithms, ensuring data privacy and security, and preventing bias and discrimination.

**Legal Framework:**
Establishing and implementing legal regulations regulating the use and development of artificial intelligence systems. In particular, this could include issues such as data protection laws, the creation of AI ethics boards or oversight boards.

**Social Participation:**
Adopting participatory processes to evaluate the impact of artificial intelligence technologies on society and take into account the views of different segments of society. This may include collaboration and dialogue between non-governmental organisations, industry representatives, academics and governments.

**Education and Awareness:**
Organizing training and awareness programs about artificial intelligence technologies. This may include informing the public about the potential benefits and risks of AI technologies and helping people better understand AI systems.

. **Audit and Evaluation:**
Establishing mechanisms to monitor, evaluate and audit the effects of artificial intelligence systems. In particular, this may include regular evaluation of the performance of AI systems in terms of fairness, transparency, accountability and security.

AI governance provides an important framework for managing the ethical and societal impacts of artificial intelligence technologies. This framework aims to promote the safe, ethical and socially acceptable use of AI systems.
So what are the levels of AI governance?

AI (Artificial Intelligence) governance can often be studied and implemented at different levels.

**Strategic Level:**
At the highest level, AI governance is considered from a strategic perspective. This level determines the overall vision, goals and directions of artificial intelligence technologies. The strategic level provides general guidance on how AI technologies will be used at the corporate or national level. At this level, artificial intelligence strategies are created, policy is determined and investments are planned.

. **Operational Level:**
At the operational level, the day-to-day operation and implementation of AI technologies are managed. This level deals with the planning, development, deployment and management of artificial intelligence projects. At the operational level, the performance, efficiency, security and compliance of AI systems are monitored and managed.

**Ethical and Normative Level:**
The ethical and normative level evaluates and manages the ethical and social impacts of AI technologies. At this level, policies based on principles and standards are developed to ensure that AI technologies are used in a fair, transparent, accountable and ethically acceptable way. At the ethical and normative level, issues such as the social impacts of artificial intelligence technologies, human rights, data privacy and discrimination are also addressed.

**Legal and Legal Level:**
The legal and legal level is concerned with the regulation and legal framework of artificial intelligence technologies. At this level, legal regulations and standards are established that govern the use and development of artificial intelligence systems. At the legal and legal level, legal issues of artificial intelligence technologies such as patent right, copyright, liability and criminal law are addressed.

Each of these levels is important for effectively managing AI technologies. A good AI governance framework covers all these levels, from setting strategic goals to managing day-to-day operations, from applying ethical and normative standards to legal regulations.