· Build and Validate:
2 AI System Owners should be accountable for the design and implementation of AI systems in such a way as to ensure that personal information is protected throughout the life cycle of the AI system.
· Plan and Design:
5 All critical decision points in the system design should be subject to sign off by relevant stakeholders to minimize risks and make stakeholders accountable for the decisions.
Principle 7 – Accountability & Responsibility
Principle 7 – accountability & Responsibility
Principle 7 – Accountability & Responsibility
The accountability and responsibility principle holds designers, vendors, procurers, developers, owners and assessors of AI systems and the technology itself ethically responsible and liable for the decisions and actions that may result in potential risk and negative effects on individuals and communities.
Principle 7 – Accountability & Responsibility
The designers, developers, and people who implement the AI system should be identifiable and assume responsibility and accountability for any potential damage the technology has on individuals or communities, even if the adverse impact is unintended.
Principle 7 – Accountability & Responsibility
The accountability and responsibility principle is closely related to the fairness principle.
Plan and Design:
1 This step is crucial to design or procure an AI System in an accountable and responsible manner.
· Prepare Input Data:
1 An important aspect of the accountability and Responsibility principle during Prepare Input Data step in the AI System Lifecycle is data quality as it affects the outcome of the AI model and decisions accordingly.
· Build and Validate:
2 Assigning the appropriate ownership and communicating responsibilities will set the tone for accountability that would aid in steering the development of the AI system on good reasons, solid interference, and will allow the intervention of human critical judgement and expertise.