DSET: Artificial Intelligence Opportunities and Data Challenges Informing Strategic Planning

In a recent talk at the DSET conference in Bristol, Dr Robert Siegfried from NATO and Roa Powell from the Alan Turing Institute shared valuable insights into the opportunities and challenges presented by AI and data in strategic planning.

Their discussions shed light on the increasing volume and variety of data available to Allied Forces and the need to leverage this data to enhance decision-making. This article highlights their observations, the key applications of artificial intelligence, and the challenges facing defense organizations in becoming truly data-driven.

Data is growing faster than we can properly understand

Dr Robert Siegfried, a member of NATO’s modeling and simulation team, highlighted the importance of data in modern defense operations. According to Siegfried, Allied Forces now have access to more data than ever before, ranging from imagery, sensors and media to intelligence and building data.

However, the volume, variety and accuracy of data is growing faster than our understanding and the tools to handle it. Consequently, warfighters and commanders need help to take full advantage of available data for improved decision making, affecting all aspects of 21st century defense, including acquisition, training, operations, and missions.

During his talk, Siegfried highlighted the proliferation of artificial intelligence in various forms, including algorithmic flavoring, decision trees, neural networks, pattern recognition, image recognition, and language models.

He presented a concrete example of applying AI to analyze training data, highlighting the need for real-time individual feedback, training customization and performance data analysis tools such as Aditerna’s RAPTOR.

To further delve into the challenges of becoming a data-driven organization, Siegfried pointed to the risk-averse nature of the defense sector, where information is often treated as powerful secrets rather than valuable resources.

He highlighted the confusion around the rules for handling information, the aversion to failure and the tacit nature of data storage in siled systems. Siegfried emphasized the necessity of a data-centric culture and active data portfolio management to overcome these challenges.

AI in wargaming

On the other hand, Roa Powell from the Alan Turing Institute discussed the application of artificial intelligence in wargaming and its potential impact on strategic planning.

Powell emphasized that while the interest in automating wargaming is well-known, only a few real-world case studies offer concrete evidence of its effectiveness. He highlighted the need for fundamental work to support the integration of artificial intelligence into wargaming processes.

Powell described several promising applications of AI in wargaming, including narrow and specialized use cases such as improving logistics, supporting data analysis, real-time language translation, automated transcription, and procedural content creation.

However, he warned of challenges such as reducing decision-making pressure, methodology construction, man-machine teaming preparation, overconfidence, defense procurement efficiency and concerns about accountability and responsibility.

To address these challenges, Powell provided recommendations such as investing in cross-sector AI enablers, developing verification and validation processes for AI warfare tools, investigating limited AI use cases alongside complex AI-enabled wargames, and commissioning research to the epistemology and decision-making of game-making.

On Tuesday at DSET, a keynote address highlighted the role of wargaming in decision-making and organizational development, as speakers discussed the strategic and tactical benefits.

The talks by Dr. Robert Siegfried and Roa Powell shed light on the enormous potential of artificial intelligence and data in informing strategic planning in the defense sector.

While the challenges are significant, adopting a data-centric culture and actively managing data portfolios can help organizations capitalize on the opportunities presented by AI and overcome the barriers to becoming truly data-driven.

News of the defense industry’s involvement with artificial intelligence is becoming more widespread and spreading around the world. Last month, Rabat International University and Israel Aerospace Industries united in the topics of aeronautics and artificial intelligence.

That same month, a cooperative swarm of drones tracked and located military targets during the first test of artificial intelligence (AI) and AUKUS autonomy in the UK.

Read the original at Defence247.gr

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