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Home > Software Development > AI윤리를 준수한 개발 체크리스트

AI윤리를 준수한 개발 체크리스트

Pre-Development Planning

Conduct an ethical risk assessment to identify potential biases and ethical concerns

Ensure that all team members are educated on AI ethics principles

Define clear goals and objectives for the AI project

Establish guidelines for data collection and usage

Data Collection and Processing

Use diverse and representative datasets to avoid biases

Obtain consent from individuals when collecting personal data

Ensure data security and privacy measures are in place

Implement transparency measures for data processing algorithms

Model Development

Regularly test and evaluate the AI model for biases and ethical concerns

Implement mechanisms for explaining AI decision-making processes

Consider the potential impact of the AI model on different stakeholders

Include mechanisms for feedback and accountability in the model

Deployment and Monitoring

Monitor the AI system for any unintended consequences or biases

Provide avenues for users to report ethical concerns or issues

Regularly update and improve the AI model based on feedback and monitoring results

Conduct regular audits to ensure compliance with ethical standards

Post-Deployment Evaluation

Conduct a post-deployment ethical review to assess the impact of the AI system

Solicit feedback from users and stakeholders on the ethical implications of the AI system

Address any ethical concerns or issues that arise post-deployment

Continuously improve and refine the AI system to ensure ethical compliance.

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