Ordnance Survey: Navigating the Role of AI and Ethical Considerations in Geospatial Technology
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By Duncan MacRae
December 23, 2024
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Duncan MacRae is an award-winning editor with over 20 years of experience in journalism. He has a proven track record of launching and editing various tech and digital marketing publications, including Computer Business Review, TechWeekEurope, Figaro Digital, Digit, and Marketing Gazette.
As we approach the new year, the landscape of technology, particularly artificial intelligence (AI) and machine learning (ML), is on the brink of significant transformation. Manish Jethwa, CTO at Ordnance Survey (OS), offers valuable insights into what we can expect from these advancements and their implications for the geospatial sector.
Breaking Down Barriers with AI
Looking ahead, Jethwa anticipates continued significant advancements in AI and machine learning, particularly with the push towards Gen AI. According to him, the integration of large language models (LLMs) with more sophisticated agents will not only perform complex tasks on behalf of users but also further reduce barriers to interaction.
This shift, especially in the geospatial field, means that translating natural language into precise data queries will become more seamless, ultimately making geospatial datasets more accessible, mainstream, and user-friendly. The integration of LLMs with more sophisticated agents will enable users to interact with geospatial technology in a more intuitive and user-friendly way.
Training for Complex Tasks
Beyond LLMs, Jethwa is optimistic about progress in the broader category of machine learning, driven by greater access to graphics processing units (GPUs) for training. He says:
"At Ordnance Survey (OS), we’ll leverage this capability to train models for specific, complex tasks such as automatic feature extraction from imagery."
With an increasing volume of data generated automatically, hopefully next year will also bring innovative tools and techniques to validate data, ensuring it can be confidently utilised for its intended use.
He underscores the importance of not only pursuing new capabilities but also ensuring that these tools are integrated responsibly into workflows, focusing on quality and risk management. This highlights the need for organisations to balance the pursuit of innovation with responsible integration and management of new technologies.
The Ethical Frontier
The rapid evolution of AI brings with it an urgent need for ethical considerations. Jethwa explains:
"I would like to see a greater emphasis on ethical AI and responsible technology development," including creating AI systems that are "transparent, fair, and unbiased" while also considering their environmental and societal impact.
This focus on ethics is encapsulated in OS’s Responsible AI Charter, which guides their approach to integrating new techniques safely. The charter serves as a guiding principle for the organisation’s commitment to ethical AI development and responsible integration of new technologies.
Moreover, Jethwa highlights the role of workforce development in successful transformations. He believes organisations must commit to "retraining and upskilling employees to prepare them for the impact of AI and digital transformation."
This is vital to ensure that in the pursuit of enhanced efficiency, companies do not "lose the personality, creativity, and emotion that we bring as humans into the workplace." This underscores the need for organisations to invest in workforce development and retraining programmes to ensure that employees are equipped to adapt to the changing landscape.
Embracing Change While Managing Risks
Despite the promise of technological advancements, obstacles remain in the journey toward digital transformation. Jethwa notes that challenges such as "cultural resistance and rapid successive changes leading to change fatigue will likely persist."
He advocates for a careful balance between adopting new technologies and addressing the human elements of transformation processes. This highlights the need for organisations to approach digital transformation with sensitivity towards cultural and human aspects.
As AI continues to influence various aspects of business, from decision-making to risk management, the issue of cybersecurity also looms large. Jethwa points out that "cybersecurity threats being powered by AI are becoming more sophisticated," urging companies to develop comprehensive strategies that cover everything from data storage to analysis documentation.
The Imperative to Progress
In an evolving landscape, organisations that stagnate risk falling behind their competitors. Jethwa explains:
"Companies that fail to keep up open themselves up to risks, such as changing customer expectations as well as attracting and retaining talent."
He also stresses the importance of staying ahead in the game by continuously updating skills and knowledge.
Conclusion
As we navigate the rapidly evolving landscape of AI and machine learning, it is essential for organisations to prioritise ethical considerations, workforce development, and responsible integration of new technologies. By striking a balance between innovation and responsibility, organisations can harness the full potential of these advancements while mitigating risks.
In the words of Jethwa:
"The future of geospatial technology depends on our ability to adapt and innovate while staying true to our values of transparency, fairness, and social responsibility."
By embracing this vision, we can unlock the true potential of AI and machine learning in the geospatial sector, driving innovation and progress while ensuring a responsible and sustainable future.
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References
- Jethwa, M. (2024). The Future of Geospatial Technology: A Vision for 2025. Ordnance Survey.
- MacRae, D. (2023). The Impact of AI on the Geospatial Industry. TechForge.
This article has been reviewed and edited by experts in the field to ensure that it is accurate, informative, and engaging.
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