Your checklists (
0
)
AI Checklist Generator
From the makers of
Manifestly Checklists
Sign in
Email address
Email me a magic link
Home
> ai system impact assessment
ai system impact assessment
Define scope of assessment
Clearly outline the goals and objectives of the AI system impact assessment
Identify the specific AI technologies, applications, and processes to be assessed
Determine the timeframe and resources allocated for the assessment
Gather data and assess sources
Compile a comprehensive list of data sources used by the AI system
Evaluate the relevance, accuracy, and diversity of the data sources
Assess the data processing techniques and any biases present in the data
Analyze model training and evaluation
Review the AI algorithms and models used in the system
Conduct fairness evaluations to identify potential biases
Evaluate the performance metrics and validation methods used in model training
Review deployment and monitoring processes
Examine the deployment procedures and mechanisms used for the AI system
Monitor the ongoing impact of the AI system on stakeholders
Establish protocols for continuous monitoring, feedback, and improvement
Address ethical and legal considerations
Identify and address potential ethical concerns related to the AI system
Ensure compliance with relevant laws, regulations, and industry standards
Develop guidelines for responsible AI use and data privacy protection
Document findings and communicate results
Document all findings, assessments, and recommendations in a detailed report
Communicate the results to key stakeholders, including management and affected parties
Update the assessment regularly to reflect changes in the AI system and its impacts on stakeholders
Download CSV
Download JSON
Download Markdown
Use in Manifestly
Use in Manifestly