The principle "AI Policy Principles" has mentioned the topic "responsibility" in the following places:

    1. Our Responsibility: Promoting Responsible Development and Use.

    Our responsibility: Promoting Responsible Development and Use.

    1. Our Responsibility: Promoting Responsible Development and Use.

    Our Responsibility: Promoting responsible Development and Use.

    · 1.1 Responsible Design and Deployment

    · 1.1 responsible Design and Deployment

    · 1.1 Responsible Design and Deployment

    We recognize our responsibility to integrate principles into the design of AI technologies, beyond compliance with existing laws.

    · 1.1 Responsible Design and Deployment

    While the potential benefits to people and society are amazing, AI researchers, subject matter experts, and stakeholders should and do spend a great deal of time working to ensure the responsible design and deployment of AI systems.

    · 1.1 Responsible Design and Deployment

    As an industry, it is our responsibility to recognize potentials for use and misuse, the implications of such actions, and the responsibility and opportunity to take steps to avoid the reasonably predictable misuse of this technology by committing to ethics by design.

    · 1.1 Responsible Design and Deployment

    As an industry, it is our responsibility to recognize potentials for use and misuse, the implications of such actions, and the responsibility and opportunity to take steps to avoid the reasonably predictable misuse of this technology by committing to ethics by design.

    · 1.2 Safety and Controllability

    Technologists have a responsibility to ensure the safe design of AI systems.

    · 1.3 Robust and Representative Data

    To promote the responsible use of data and ensure its integrity at every stage, industry has a responsibility to understand the parameters and characteristics of the data, to demonstrate the recognition of potentially harmful bias, and to test for potential bias before and throughout the deployment of AI systems.

    · 1.3 Robust and Representative Data

    To promote the responsible use of data and ensure its integrity at every stage, industry has a responsibility to understand the parameters and characteristics of the data, to demonstrate the recognition of potentially harmful bias, and to test for potential bias before and throughout the deployment of AI systems.

    · 2.2 Flexible Regulatory Approach

    We encourage governments to evaluate existing policy tools and use caution before adopting new laws, regulations, or taxes that may inadvertently or unnecessarily impede the responsible development and use of AI.