Ethical review
Verification by app stores
Compliance with laws, social morality and ethics
Verification of users’ real identities
Notification and consent of the subjects of deep synthesis services
Protecting the privacy of users’ input
Take effective measures to enhance accuracy
Specific prohibition on use for fake news
Screening illegal or harmful information
Measures to prevent false, illegal, or harmful information
Disclosure Requirements
Must not induce addiction or over-consumption
Protection of minors, elderly, and workers
Supervision and inspection by other regulators
Management system and technical measures
Management measures by online app distribution platforms
Establish user complaints handling mechanism
Right to opt-out
Right to delete personal characteristics
Right to not be subject to differentiated treatment
Human-AI Configuration
Information Integrity
Information Security
Obscene, Degrading, and/or Abusive Content
Toxicity, Bias, and Homogenization
Black box
Liability
Intellectual property and copyright
Access to compute
Misrepresentation
Valid and Reliable
Safe
Secure and Resilient
Accountable and Transparent
Explainable and Interpretable
Privacy-Enhanced
Fair – with Harmful Bias Managed
Disclosing that the content was generated by AI
Designing the model to prevent it from generating illegal content
Publishing summaries of copyrighted data used for training
Appropriate methods and metrics are identified and applied
Systems are evaluated for trustworthy characteristics
Mechanisms for tracking identified AI risks over time are in place
Feedback about the efficacy of measurement is gathered and assessed
Strategies to maximize AI benefits and minimize negative impacts
AI risks based on assessments
AI risks and benefits from third-party entities are managed
Risk treatments, including response and recovery
Context is established and understood
Categorization of the AI system is performed
Capabilities, targeted usage, goals, and expected benefits
Risks and benefits are mapped for all components of the AI system including third-party software and data.
Impacts to individuals, groups, communities, organizations, and society are characterized
Smart Mobility, including Transports and Logistics
Manufacturing
Energy
Smart Cities
Education and Skilling
International coordination
Incentivizing the creation of jobs that could constitute the new service industry
Recognition and standardization of informal training institutions
Creation of open platforms for learning
Creating financial incentives for reskilling of employees
Responsible design & development
Clear information to deployers on responsible use of the system
Responsible decision-making by deployers and end users
Explanations and documentation of risks based on empirical evidence of incidents
Mental Health Policies
Employee Assistance Programs
Mental Health Awareness
Digital Literacy
Counselling Services
Work Environment
Monitoring and Adjustment
User Accessibility
Cultural Sensitivity
Improved Performance
Business Opportunities
Research and Development
Cross-Language Information Retrieval
Customer Support
Content Localization
Sentiment Analysis