AI Innovation Horizon Scanning

Detect weak signals, emerging technologies, and regulatory shifts to guide bold yet responsible AI strategies.

Governance & Collaboration

Toolkit & Operating Rhythm

Clarify why the organization scans the AI horizon: anticipate disruption, seize opportunities, and mitigate emerging risks.

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Trend Analysis Framework

Evaluate signals using criteria such as certainty, impact, time horizon, and ethical considerations.

Prioritize signals for deeper exploration and scenario planning workshops.

Frequently asked questions

What process should be used to identify weak signals related to AI innovation?

A structured approach involving monitoring diverse sources – including academic research, industry reports, and regulatory announcements – is crucial for identifying weak signals.

Why is collaboration essential within an AI Innovation Horizon Scanning program?

Collaboration across departments like strategy, R&D, risk management, and ethics ensures a holistic understanding of potential disruptions and opportunities associated with emerging technologies.

How can the outputs of horizon scanning be effectively integrated into decision-making processes?

Incorporating horizon scanning insights into executive reviews and portfolio steering forums facilitates informed strategic choices and proactive risk mitigation.

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Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

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