Steering Trustworthy AI
As AI advances, it's crucial to balance innovation with a strong commitment to ethical and responsible AI practices. This survey is crafted to assist you in assessing your AI system against critical principles of trustworthy AI, including accountability, fairness, transparency, reliability, privacy, security, safety, and sustainability.
Privacy
Are there robust data protection measures such as anonymization in place to ensure the privacy and confidentiality of user data?
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YES: Implemented strong privacy-preserving methods
PARTIALLY: Some privacy checks and processes are in place
NO: Privacy is not addressed
Compliance
Are you aware of and prepared for privacy regulations like HIPAA, CPRA, or GDPR that apply to your AI applications?
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YES: Fully aware and completely prepared
PARTIALLY: Somewhat aware, preparation in progress
NO: Not aware
Security – Manipulation
What measures are in place to prevent your AI system from being manipulated or misused?
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YES: Strong protection against unauthorized manipulation
PARTIALLY: Some preventative measures exist
NO: Lacks safeguards
Security – Breaches
Has your AI system been rigorously tested for vulnerabilities and potential security breaches?
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YES: Regular threat assessments and penetration testing
PARTIALLY: Some security testing is done
NO: Security testing is lacking
Safety
Does your AI system include safeguards to prevent harmful content such hate speech, insults etc., causing physical or psychological harm to users?
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YES: The system delivers reliable results
PARTIALLY: Occasional errors but have mitigation strategies
NO: Frequent errors. No mitigation strategies
Accountability
Have you defined who takes responsibility for the actions and outcomes of your AI system?
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YES: A clearly defined and documented
PARTIALLY: Multiple entities share responsibility
NO: Responsibility is unclear
Accountability – Govern
Does your organization have clear policies and procedures to identify and address any negative consequences or unintended impacts of your AI system?
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YES: Established procedures and resources
PARTIALLY: Plans exist, but their effectiveness need evaluation
NO: No specific plans or resources
Reliability
Can users trust your AI system to perform its intended function consistently and accurately?
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YES: The system delivers reliable results
PARTIALLY: Occasional errors but have mitigation strategies
NO: Frequent errors. No mitigation strategies
Transparency
Are your AI system's data and decision-making processes clear and understandable? Can users access the information?
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YES: Users can readily understand
PARTIALLY: Some aspects are explained
NO: The system’s workings hard to explain
Fairness
Do you actively test and mitigate potential biases in your AI system's data and decision-making processes?
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YES: A systematic approach is in place to test bias
PARTIALLY: Test for bias occasionally
NO: Bias has not been formally addressed
(Biases could lead to unfair outcomes based on sensitive characteristics like race, gender, or age)
Sustainability
Has your organization assessed the environmental and social impact of your AI system and taken steps to minimize its impact?
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YES: Responsible AI proactively part of the design process
PARTIALLY: Initial assessment conducted
NO: Not been adequately considered
Final step…
Name
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I have read and understood the purpose of this survey, which is to assess my AI system against critical principles of trustworthy AI, including accountability, fairness, transparency, reliability, privacy, security, safety, and sustainability. I voluntarily consent to participate in this survey and provide the necessary information.
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