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How Independent Testing and Validation of AI Promotes International Cooperation

Sep 13, 2022
AI interoperability

In order to move toward a techno-democratic future—in which innovation is embraced globally while maintaining a focus on democratic ethics and trust—artificial intelligence (AI) systems cannot be developed and deployed in isolation. Future conflict success will require rapid pace, precise understanding, quick decision-making, and coordinated efforts to disrupt enemy activity. This will require new levels of interoperability among allied nations and a need to share insights and technology with confidence.

The challenges of AI interoperability

Speed is the end goal of AI in military decision-making, and ultimately it has the potential to enhance interoperability between allies and promote the sharing of data and technology to advance allied missions. However, the data- and resource-intensive nature of AI development creates barriers that can hamper multinational operations.

Ultimately, it comes down to a lack of trust in AI—in these systems’ security, robustness, performance, and more. Allies are less inclined to deploy systems or share technology with others if the security of their data is in question or if there are doubts that it will perform as intended once deployed.

Allied nations can have vastly different technologies or methods for gathering intelligence and data, and that can have a negative impact on AI deployed in these environments. There is a risk of miscalculations, misidentifications, attacks by adversarial ML, and cyberattacks. These uncertainties are the greatest barrier in the race for AI-enabled cooperation.

VESPR Validate and an international AI pipeline

International decision-makers require a repeatable pipeline for testing and validation of AI, which will build confidence that systems will perform once deployed. Stakeholder confidence at all echelons will accelerate these wide-ranging AI missions toward success.

VESPR Validate, CalypsoAI’s independent testing and validation solution, is an accelerator to the MLops pipeline which enables international cooperation and sharing of AI technologies. Through VESPR Validate’s capabilities, mission success can be ensured through:

– Applying and testing different sourced data across the same mission scenarios to ensure outputs and decisions are aligned

– Identifying model vulnerabilities to adversarial attacks

– Developing metrics for model robustness in weather and diverse environments

– Providing clarity in data collection

– Supporting the development of models built to overcome obstructions and errors and turn back attacks

In a world where AI systems must be shared between allies in order to support rapid action and decision-making, investing in an independent testing and validation solution will provide allies with a considerable speed advantage over adversaries. While AI provides leaders with greater volumes of data and access to a greater velocity than ever thought possible, it still carries a considerable commander’s risk when it comes to actually making these decisions.

With VESPR Validate, leaders will have the visibility to know that the technology can be trusted, the data can be trusted, and ultimately the decision can be trusted. In the race to deploy AI globally, the creation of widespread trust is the greatest advantage world leaders can have.

Download our State of Global AI Policy 2022 Report.

Request a demo to learn how VESPR Validate supports your AI missions.

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