AI News 2024年12月23日
Ordnance Survey: Navigating the role of AI and ethical considerations in geospatial technology
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英国国家测绘机构Ordnance Survey的首席技术官Manish Jethwa展望了人工智能(AI)和机器学习(ML)在地理空间领域的未来发展。他认为,大型语言模型(LLM)与更智能的代理结合将降低用户交互门槛,使地理空间数据更易于访问。同时,图形处理单元的普及将推动机器学习在复杂任务中的应用,如从图像中自动提取特征。Jethwa强调了负责任地整合AI工具的重要性,并呼吁关注AI的伦理问题,包括透明度、公平性和无偏见性。此外,他还强调了员工再培训和技能提升的重要性,以应对AI带来的变革。企业在数字化转型中应平衡技术采用和人文关怀,并加强网络安全措施。企业必须不断进步,以应对不断变化的客户期望和人才竞争。

🤖AI与LLM的结合:大型语言模型(LLM)与更智能的代理结合,将使自然语言转化为精确的数据查询,降低地理空间数据的使用门槛,让更多人能轻松访问和使用。

🚀机器学习的进步:随着图形处理单元的普及,机器学习在特定复杂任务中的应用将得到提升,如从图像中自动提取特征,这将大大提高数据处理效率。

🛡️伦理与责任:在AI快速发展的同时,必须更加关注伦理问题,包括确保AI系统的透明、公平和无偏见,并考虑其对环境和社会的影响。同时,企业应负责任地将AI工具整合到工作流程中,注重质量和风险管理。

🧑‍💻人才发展:企业应重视员工的再培训和技能提升,帮助他们适应AI带来的变革,确保在追求效率的同时,不失去人类的创造力和情感价值。

🔒网络安全:随着AI驱动的网络威胁日益复杂,企业必须制定全面的网络安全策略,涵盖数据存储、分析和文档记录等各个方面,以保护企业和用户的信息安全。

As we approach a new year filled with potential, 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), the national mapping agency for Great Britain, offers an insightful glimpse 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.

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 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.

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.

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.” 

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.

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 emphasises the need for a “clear vision of future goals, effective communication of progress, and celebrating milestones to sustain momentum” in digital transformation initiatives.

As we move into a new year filled with promise, the future of AI and geospatial technology holds transformative power – but it must be used responsibly. The path that lies ahead in 2025 requires vigilance, an unwavering commitment to ethical practices and a human touch in order to drive successful innovation.

(Photos by Annie Spratt and Ordnance Survey)

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人工智能 机器学习 地理空间技术 伦理AI 数字化转型
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