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Ep 15 - A Global Compass for AI Safety
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The Map Is Not the Territory
But creating a map of the future is not the same as charting the course. INASI’s mission isn’t just about identifying the risks; it’s about creating the tools, systems, and shared understanding needed to mitigate them while preserving the transformative potential of AI. As we examine this effort, it becomes clear that the network’s formation is as much about coordination as it is about trust.
The Connected Ideas Project is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
Shared Understanding in a Fragmented World
AI’s power lies in its ability to scale decision-making and creativity. Yet that same power amplifies the risks. Generative AI can synthesize text, images, and data at extraordinary speeds, but it can also facilitate disinformation, fraud, and even large-scale social manipulation. The challenge isn’t simply to develop technical safeguards; it’s to create a global framework where those safeguards are consistent and interoperable.
This is where INASI steps in. Its purpose is to bring together the technical expertise of member nations to advance AI safety science and align on best practices. By creating a shared foundation, the network aims to avoid a patchwork of regional rules that could stifle innovation and exacerbate risks.
Among INASI’s key priorities:
* Mitigating Risks from Synthetic Content: From non-consensual imagery to fraudulent impersonations, synthetic content poses complex challenges. INASI’s members are pooling resources to better understand and address these threats.
* Testing Advanced AI Models: Ensuring models operate safely across cultural and linguistic contexts requires international cooperation. The network’s first testing exercise highlights the nuances of evaluating AI systems in a global landscape.
* Advancing Inclusion: AI safety isn’t just a problem for wealthy nations. INASI’s mission includes empowering countries at all stages of development to participate in the conversation and access the benefits of safe AI.
But the story is not in the lists of priorities. It’s in the threads connecting them.
FABRIC in Action
Take, for example, INASI’s focus on synthetic content risks. This isn’t merely about addressing disinformation; it’s about preserving trust in digital ecosystems. AI-generated imagery and narratives have implications for the bioeconomy, where public confidence in technologies like biomanufacturing depends on the integrity of the information surrounding them. The stakes are high, and the solutions must be interdisciplinary.
The Connected Ideas Project is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
Trust as Infrastructure
INASI’s work underscores a simple but profound truth: safety begins with trust. Building that trust requires transparency—not just in how AI systems are developed, but in how their risks are communicated and mitigated. For many nations, this is a question of survival as much as prosperity.
The network’s commitment to global inclusion is particularly striking. By prioritizing accessibility, INASI aims to ensure that all nations, regardless of their resources, can contribute to and benefit from AI safety. This isn’t charity; it’s strategy. An interconnected world can’t afford isolated vulnerabilities.
At the convening, representatives emphasized that trust isn’t static—it evolves. Just as AI systems are iteratively tested and improved, so too must our frameworks for governing them. The journey is as much about adaptation as it is about design.
A Collective Compass
The question for INASI—and for all of us—is not whether AI will reshape th...
But creating a map of the future is not the same as charting the course. INASI’s mission isn’t just about identifying the risks; it’s about creating the tools, systems, and shared understanding needed to mitigate them while preserving the transformative potential of AI. As we examine this effort, it becomes clear that the network’s formation is as much about coordination as it is about trust.
The Connected Ideas Project is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
Shared Understanding in a Fragmented World
AI’s power lies in its ability to scale decision-making and creativity. Yet that same power amplifies the risks. Generative AI can synthesize text, images, and data at extraordinary speeds, but it can also facilitate disinformation, fraud, and even large-scale social manipulation. The challenge isn’t simply to develop technical safeguards; it’s to create a global framework where those safeguards are consistent and interoperable.
This is where INASI steps in. Its purpose is to bring together the technical expertise of member nations to advance AI safety science and align on best practices. By creating a shared foundation, the network aims to avoid a patchwork of regional rules that could stifle innovation and exacerbate risks.
Among INASI’s key priorities:
* Mitigating Risks from Synthetic Content: From non-consensual imagery to fraudulent impersonations, synthetic content poses complex challenges. INASI’s members are pooling resources to better understand and address these threats.
* Testing Advanced AI Models: Ensuring models operate safely across cultural and linguistic contexts requires international cooperation. The network’s first testing exercise highlights the nuances of evaluating AI systems in a global landscape.
* Advancing Inclusion: AI safety isn’t just a problem for wealthy nations. INASI’s mission includes empowering countries at all stages of development to participate in the conversation and access the benefits of safe AI.
But the story is not in the lists of priorities. It’s in the threads connecting them.
FABRIC in Action
Take, for example, INASI’s focus on synthetic content risks. This isn’t merely about addressing disinformation; it’s about preserving trust in digital ecosystems. AI-generated imagery and narratives have implications for the bioeconomy, where public confidence in technologies like biomanufacturing depends on the integrity of the information surrounding them. The stakes are high, and the solutions must be interdisciplinary.
The Connected Ideas Project is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
Trust as Infrastructure
INASI’s work underscores a simple but profound truth: safety begins with trust. Building that trust requires transparency—not just in how AI systems are developed, but in how their risks are communicated and mitigated. For many nations, this is a question of survival as much as prosperity.
The network’s commitment to global inclusion is particularly striking. By prioritizing accessibility, INASI aims to ensure that all nations, regardless of their resources, can contribute to and benefit from AI safety. This isn’t charity; it’s strategy. An interconnected world can’t afford isolated vulnerabilities.
At the convening, representatives emphasized that trust isn’t static—it evolves. Just as AI systems are iteratively tested and improved, so too must our frameworks for governing them. The journey is as much about adaptation as it is about design.
A Collective Compass
The question for INASI—and for all of us—is not whether AI will reshape th...