Resources and Research
The estimated global government spending of up to 11 trillion U.S. dollars on goods and services, including $600 billion USD on information technology, highlights the need to address the AI category in those acquisitions. At AIPL, our goal is to help procurement teams garner the benefits of AI systems while concurrently addressing the risks. We have aggregated resources and research.
Let's Dig In
Do your AI systems impact safety and/or rights of the end users & intended beneficiaries downstream? If so, they would be classified as "high-risk" and require critical attention and scrutiny.
AI Procurement Standards
The IEEE Standards Association has been developing AI Governance standards since 2017 and is now finalizing the P3119 Standard for the Procurement of AI and Automated Decision Systems. Contact us for more information.
Whether you are a public or private sector organization, procuring AI for high risk use cases requires a scrupulous Caveat Emptor and risk based approach to risk mitigation. Risk identification is only the beginning.
AI Procurement Education
Education and training programs build our knowledge of the risks associated with AI solutions and systems. We will help you develop the skills needed to responsibly procure them.
Commissioned Research
Let us help you better understand and learn how your existing state of play in the procurement of AI will impact downstream end users and subjects. This is a growing field of inquiry.
Specialty Best Practices
Specialized practices are being developed in various domains to deepen the knowledge base where it matters most.