Let's get it right!

Let's get it right!

"Let's Get It Right" is the name of our AI Transparency Notice Initiative. It was born from the lessons of the past, where privacy policies became symbols of complexity and confusion; this initiative is a rallying cry for AI entrepreneurs, developers, researchers, regulators, and companies to learn from these mistakes and forge a better path forward.

#LetsGetItRight

It's about setting the stage for a future where AI is developed with integrity, transparency, and a commitment to doing right by everyone.

AI Transparency Notice Framework

Executive Summary

At AI4SP, we’ve developed the AI Transparency Notice initiative – a standardized framework for AI creators to communicate their AI system’s capabilities, limitations, biases, data usage, and safety measures to users.

Methodology: Data from an interceptor (real-time) survey, presented to individuals immediately after using one of 27 AI-powered tools from AI4SP. After interacting with the AI tool, participants were asked to read the AI Transparency Notice. 500 responses from US individuals |  July 20 to July 26, 2024. | 54% female, 42% male, and 4% other or preferring not to disclose. | 39% (30-44 years), 32% (45-60 years), and 29% (18-29 years). | Margin of error +/- 4%.

Our Core Beliefs

• Technology has the power to enhance our lives.
• Most people and organizations have good intentions.
• When we are transparent and share our limitations and unsolved challenges, we tap into the collective knowledge to help drive things forward.
• Education and awareness are crucial to navigating the AI revolution.
• Simplicity in communication is key to true transparency and trust.

Key Points of Our Initiative

• Addresses widespread concerns: 76% of stakeholders worry about AI privacy and security.
• Benefits Users and Creators: Empowers users with informed choices and helps developers build trust.
• Simplifies complex information: Uses plain language and a concise approach accessible to all.
• Proactive self-regulation: Taking the lead in establishing transparency standards.
• Synthesizes leading frameworks: Built on established work from respected institutions, we acknowledge the foundational work of researchers and practitioners in these areas.
  • CLeAR Documentation Framework [1],
  • Model Cards for model reporting [2],
  • Datasheets for Datasets [3],
  • FactSheets [4]

Benefits for AI Developers

• Increase Sales: 68% of people claim they would trust and use more AI tools displaying this notice
• Mitigate risks and prepare for future AI regulations
• Drive innovation and attract ethically-minded talent

Benefits for Users

• Make informed decisions about AI interactions
• Gain clarity on data usage and protection
• Increase control over AI engagement
• Engage with AI systems more confidently

Foundational References:

1. Chmielinski, K., Newman, S., Kranzinger, C. N., Hind, M., Vaughan, J. W., Mitchell, M., … & Hudson, M. (2024). The CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners & Context for Policymakers. Shorenstein Center Discussion Paper.
2. Mitchell, M., Wu, S., Zaldivar, A., Barnes, P., Vasserman, L., Hutchinson, B., … & Gebru, T. (2019). Model cards for model reporting. In Proceedings of the conference on fairness, accountability, and transparency (pp. 220-229).
3. Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Daumé III, H., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86-92.
4. Arnold, M., Bellamy, R. K. E., Hind, M., Houde, S., Mehta, S., Mojsilović, A., … & Varshney, K. R. (2019). FactSheets: Increasing trust in AI services through supplier’s declarations of conformity. IBM Journal of Research and Development, 63(4/5), 6:1-6:13

Last updated: Aug 11, 2024

Create your AI Transparency Notice and Promote it!

Join us in embracing transparency. Use our framework and publish your AI Transparency Notice. Link your notice to this page to provide a reference on the methodology.