, , , , In their paper titled "A Multilevel Framework for AI Governance," authors Hyesun Choung, Prabu David, and John S. Seberger emphasize the importance of developing a governance structure that aligns with ethical principles and fundamental human values to harness the potential benefits of artificial intelligence (AI) while mitigating its risks. Numerous organizations have issued guidelines and ethical frameworks for trustworthy AI, but these principles cannot be effectively implemented without a mediating governance structure. To address this gap, the authors propose a multilevel approach involving three key stakeholders: governments, corporations, and citizens. These groups are interdependent and play crucial roles in shaping the development and deployment of AI technologies. The authors examine their interrelationships through trust dimensions such as competence, integrity, and benevolence. By considering different levels of governance along with trust dimensions in AI, the proposed framework offers practical insights to enhance user experiences and inform public policy related to AI. This comprehensive approach recognizes that effective AI governance requires collaboration among various stakeholders to ensure ethical practices and protect human values. The authors' research contributes to the ongoing discourse on AI governance by providing a structured framework that addresses both technical aspects of AI development and societal implications. Their work highlights the need for proactive measures to govern AI technologies responsibly while upholding ethics and fundamental human values in order to maximize their potential benefits for society as a whole. This paper serves as an important resource for policymakers, researchers, industry professionals, and other stakeholders involved in shaping the responsible development and deployment of AI technologies.
- Importance of developing a governance structure aligned with ethical principles and human values for AI governance
- Guidelines and ethical frameworks for trustworthy AI are not enough without a mediating governance structure
- Proposed multilevel approach involving governments, corporations, and citizens as key stakeholders in AI governance
- Examination of interrelationships through trust dimensions such as competence, integrity, and benevolence
- Practical insights to enhance user experiences and inform public policy related to AI
- Collaboration among stakeholders necessary for effective AI governance
- Structured framework addressing technical aspects of AI development and societal implications
- Need for proactive measures to govern AI technologies responsibly while upholding ethics and human values
- Important resource for policymakers, researchers, industry professionals, and other stakeholders involved in responsible development and deployment of AI technologies.
- It is important to have rules and principles that guide how AI technology is used, based on what is right and fair.
- Just having guidelines and ethical frameworks for AI is not enough - we also need a way to make sure these rules are followed.
- Governments, companies, and people like you and me all have a role to play in making sure AI is used responsibly.
- We should look at different aspects of trust, like how competent, honest, and kind the people using AI are.
- We can learn from practical experiences to make AI better for users and create policies that protect everyone.
Definitions
- Governance: The way decisions are made and rules are followed in a group or organization.
- Ethical: Doing what is right and fair.
- Principles: Basic beliefs or ideas that guide our actions.
- Mediating: Helping to solve problems or find solutions between different groups or ideas.
- Stakeholders: People who have an interest or involvement in something, like AI governance.
- Trustworthy: Something that can be relied upon or trusted.
- Competence: Being good at something or having the skills needed for it.
- Integrity: Being honest and doing what you say you will do.
- Benevolence: Being kind and wanting to help others.
- Deployment: Putting something into action or use.
A Multilevel Framework for AI Governance: A Comprehensive Approach to Responsible Development and Deployment of Artificial Intelligence Technologies
In their paper titled "A Multilevel Framework for AI Governance," authors Hyesun Choung, Prabu David, and John S. Seberger emphasize the importance of developing a governance structure that aligns with ethical principles and fundamental human values to harness the potential benefits of artificial intelligence (AI) while mitigating its risks. Numerous organizations have issued guidelines and ethical frameworks for trustworthy AI, but these principles cannot be effectively implemented without a mediating governance structure. To address this gap, the authors propose a multilevel approach involving three key stakeholders: governments, corporations, and citizens.
The Interdependence of Governments, Corporations & Citizens
These groups are interdependent and play crucial roles in shaping the development and deployment of AI technologies. The authors examine their interrelationships through trust dimensions such as competence, integrity, and benevolence. By considering different levels of governance along with trust dimensions in AI, the proposed framework offers practical insights to enhance user experiences and inform public policy related to AI.
Ethics & Human Values at the Forefront
This comprehensive approach recognizes that effective AI governance requires collaboration among various stakeholders to ensure ethical practices and protect human values. The authors' research contributes to the ongoing discourse on AI governance by providing a structured framework that addresses both technical aspects of AI development and societal implications. Their work highlights the need for proactive measures to govern AI technologies responsibly while upholding ethics and fundamental human values in order to maximize their potential benefits for society as a whole.
An Important Resource For All Stakeholders Involved In Shaping Responsible Development & Deployment Of Artificial Intelligence Technologies
This paper serves as an important resource for policymakers, researchers, industry professionals, and other stakeholders involved in shaping the responsible development and deployment of AI technologies. It provides valuable insights into how different levels of government can collaborate with corporations in order to create an effective framework that upholds ethics while maximizing potential benefits from artificial intelligence technology use cases across industries worldwide.
