About you
Legal aspects Data types What kind of data does your organisation use to train AI models?
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Other (please specify)
Collecting data How do you collect the data for your AI processes?
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Other (please specify)
Do you obtain explicit consent from individuals or organisations before collecting their personal data? Storing data Where is your primary data storage located?
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Cloud providers (please specify)
Processing data Do you pseudonymise or anonymise personal data before processing?
Sharing data With which entities do you typically share the data you collect or process?
Applicable laws and regulations Which of the following privacy regulations applies to your organisation? (Select all that apply.)
How do you ensure compliance with these regulations when using AI? [Longer Answer]
Intellectual property General understanding How would you rate your organisation's understanding of IP rights regarding AI?
AI algorithms and models How often does your organisation develop proprietary AI algorithms or models?
How do you protect the IP of your AI models? Training data Do you have proprietary datasets created or curated by your organisation?
Collaborative projects How do you handle IP rights when collaborating with external entities on AI projects?
Please describe a situation where IP rights were a point of contention in a collaboration and how it was resolved. [Longer Answer]
Open source Does your organisation contribute to or use open-source AI frameworks or libraries?
IP enforcement Have you faced instances where you believed your AI-related IP was infringed upon?
If yes, how did your organisation handle the situation? [Longer Answer]
Future vision
With AI rapidly evolving, do you believe your organisation's current IP strategy is prepared for the future challenges and opportunities in AI? Why or why not? [Longer Answer]
Liability and ethics Does your organisation have a formal ethical framework or AI development and deployment guidelines? If yes, how often do you review and update this framework? Insurance Does your cyber insurance cover liability for harm caused by AI?
Have you conducted any audits or assessments on your AI systems for potential biases? Transparency and explainability How important is it for your AI systems to be transparent and explainable?
Public perception How would you assess the public's perception of your organisation's ethical stance on AI deployment?
Whistleblowing mechanisms Does your organisation have mechanisms for employees to report ethical concerns or potential misuse of AI without fear of retaliation?
External oversight Is any third-party or external oversight or audit performed on your AI systems to ensure ethical considerations are met?
Continuous learning Given the rapid changes in technology and societal considerations, how does your organisation ensure continuous learning and updates in the ethical deployment of AI?
Contracts and agreements Standardisation Does your organisation have standardised contracts and agreements for AI-related projects and partnerships?
Key elements Which of the following elements are typically included in your AI contracts?
Review process How often are your AI contract templates reviewed and updated to align with evolving legal and technical landscapes?
Pricing models Which pricing models are most commonly utilised in your AI-related contracts?
Commercial aspects AI's role How would you describe the role of AI in your business model?
Monetisation How does your organisation primarily monetise its AI technologies or solutions?
Market position Market share How would you estimate your market share in the AI domain within your industry?
Geographical presence In which geographical regions is your AI business strongest?
Collaborations and mergers Has your organisation considered or engaged in mergers, acquisitions, or collaborations to strengthen its market position in AI?
Brand perception How would you describe the public perception of your brand concerning AI expertise and offerings?
Adaptability Given the rapid evolution of the AI industry, how would you rate your organisation's adaptability to market changes?
Technical aspects Development framework Which development frameworks or platforms are primarily used in your AI projects?
External collaboration Has your organisation collaborated with external research institutions, universities, or think tanks for AI development?
Infrastructure Infrastructure type Which infrastructure setups do you primarily use for your AI operations?
Testing and validation Testing environments What environments are used for testing AI models before they are deployed?
Validation techniques Which techniques do you primarily use for validating your AI models?
External audits Has your organisation ever engaged third-party entities for independent validation or auditing of AI models?
Deployment Deployment platforms Which platforms or environments do you primarily deploy your AI solutions to?
Deployment frequency How frequently does your organisation typically deploy updates or refinements to AI models in production?
Rollout strategy Does your organisation utilise phased or segmented rollout strategies (e.g., A/B testing, canary releases) for AI deployments?
Security Authentication protocols What authentication protocols do you utilise to ensure only authorised individuals can interact with your AI models and infrastructure?
Regular audits How often does your organisation conduct security audits for AI systems, and are these internal or external audits?
Personnel training How frequently is your team trained on security protocols and best practices, especially concerning AI?