The SAFER AI Protocol
Artificial intelligence systems are increasingly used to generate insights, recommendations, and decisions across organizations and institutions. While AI technologies can be powerful tools, responsibility for evaluating and acting on AI-generated outputs ultimately remains with humans.
The SAFER AI Protocol introduces a conceptual framework to encourage structured, responsible evaluation of AI-generated information before it influences decisions.
SAFER AI Framework
The SAFER AI Protocol is represented as a cyclical model that encourages thoughtful human evaluation when interacting with artificial intelligence systems.
The framework highlights five key considerations that support responsible interaction with AI-generated outputs:
Understanding the context and boundaries of the AI task.
Clarifying who is responsible for evaluating and approving AI output.
Recognizing potential consequences if the AI output is incorrect.
Seeking verification or supporting information before relying on AI outputs.
Documenting the reasoning and evaluation behind decisions involving AI.
Why Human Oversight Matters
As AI systems become integrated into everyday work and decision-making, individuals and organizations must consider how AI-generated information is evaluated before it influences actions. The SAFER AI Protocol highlights the importance of disciplined human judgment in AI-assisted environments.
About the Framework
The SAFER AI Protocol is a conceptual framework developed to support discussion and research on responsible artificial intelligence governance and human-centered AI interaction.
Intellectual Property Notice
The SAFER AI Protocol and associated visual model were developed by Dr. Lola Longe. The SAFER AI name and visual framework are protected intellectual property.
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