The Trusted AI Bulletin #2

Issue #2 – AI Investment, Ethics & Compliance Trends

Introduction

Welcome to this edition of The Trusted AI Bulletin, where we bring you the latest developments in enterprise AI risk management, adoption, and ethical AI practices.

This week, we examine how tech giants are investing billions into AI innovation, the growing global alignment on AI safety, and why passive data management is no longer viable in an AI-driven world.

With AI becoming an integral part of finance, healthcare, and other critical industries, strong governance frameworks are essential to ensure trust, transparency, and long-term success.

From real-world case studies like DBS Bank’s AI journey to upcoming industry events, this issue gives you insights to help you stay ahead in the evolving AI landscape.

 


Key Highlights of the Week

1. Stargate: America's $500 Billion AI Power Play

The United States unveiled the Stargate Project, a $500 billion initiative over the next four years to establish the world's most extensive AI infrastructure and secure global dominance in the field. Led by OpenAI, Oracle, and SoftBank, with backing from President Trump, the project plans to build 20 massive data centres across the U.S., starting with a 1 million-square-foot facility in Texas. Beyond advancing AI capabilities, Stargate is also a strategic move to attract global investment capital, potentially limiting China’s access to AI funding. With its $500 billion commitment far surpassing China’s $186 billion AI infrastructure spending to date, the U.S. is making a bold play to corner the market and maintain its technological edge.

Source: Forbes link

 

2. China’s AI Firms Align with Global Safety Commitments, Signalling Convergence in Governance

Chinese AI companies, including DeepSeek, are rapidly advancing in the global AI race, with their latest models rivalling top Western counterparts. In a notable shift, 17 Chinese firms have signed AI safety commitments similar to those adopted by Western companies, signalling a growing alignment on governance principles. This convergence highlights the potential for international collaboration on AI safety, despite ongoing geopolitical competition. As AI development accelerates, upcoming forums like the Paris AI Action Summit may play a crucial role in shaping global AI governance.

Source: Carnegie Endowment research link

 

3. Lloyds Banking Group Expands AI Leadership with New Head of Responsible AI

Lloyds Banking Group has appointed Magdalena Lis as its new Head of Responsible AI, reinforcing its commitment to ethical AI development. With over 15 years of experience, including advisory roles for the UK Government and leadership at Toyota Connected Europe, Lis will focus on ensuring AI safeguards while advancing innovation. This move follows the appointment of Dr. Rohit Dhawan as Director of AI and Advanced Analytics in 2024, as Lloyds continues to grow its AI Centre of Excellence, now comprising over 200 specialists. As AI reshapes banking, Lloyds aims to balance technological advancement with responsible implementation.

 

Source: FF News link

 


Featured Articles

1. Why Passive Data Management No Longer Works in the AI Era

The days of passive data management are over—AI-driven organisations need a proactive approach to governance. Chief Data Officers (CDOs) must ensure that data is high-quality, well-structured, and compliant to fully unlock AI’s potential. This means implementing automation, real-time monitoring, and stronger governance frameworks to mitigate risks while enhancing decision-making. Without these measures, businesses risk falling behind in an increasingly AI-powered world. The article explores how CDOs can take control of their data strategy to drive innovation and maintain regulatory compliance.

Image source: Image generated using ImageFX

Source: Medium link

2. How Governance & Privacy Can Safeguard AI Development

As AI adoption accelerates, so do concerns over data exposure, compliance failures, and reputational damage. Informatica warns that without strong governance and privacy policies, organisations risk losing control over sensitive information. Proactive data management, human oversight, and clear accountability are crucial to ensuring AI is both powerful and responsible. Businesses must not only understand the data fuelling their AI models but also implement safeguards to prevent unintended consequences. In an AI-driven world, those who neglect governance may find themselves facing serious risks.

Source: A-Team Insight link

3. AI Literacy: The Key to Staying Ahead in an AI-Driven World

AI is transforming industries, but do your teams truly understand how to use it responsibly? Without proper AI literacy, businesses risk compliance failures, biased decision-making, and missed opportunities. A well-designed AI training programme helps employees navigate regulations, mitigate risks, and unlock AI’s full potential. From assessing knowledge gaps to tailoring content for different roles, the right approach ensures AI is used strategically and ethically. As AI continues to evolve, organisations that prioritise education will be better equipped to adapt and thrive.

Source: IAPP link

 


Industry Insights

Case Study: DBS Bank - AI Success Rooted in Robust Governance Framework

Harvard Business School’s recent case study on DBS Bank highlights the critical role of AI governance in executing a successful AI strategy. Headquartered in Singapore, DBS embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014, incorporating AI to enhance business value and customer experience. As AI adoption scaled, DBS developed its P-U-R-E framework—emphasising Purposeful, Unsurprising, Respectful, and Explainable AI—to ensure ethical and responsible AI deployment. This governance-first approach has been instrumental in managing risks while maximising AI’s potential across banking operations.

In 2022, DBS began exploring Generative AI (Gen AI) use cases, adapting its governance frameworks to balance innovation with emerging risks. By leveraging its existing AI capabilities, the bank continues to integrate AI responsibly while maintaining regulatory compliance and trust.

Key Outcomes of AI Governance at DBS:
o Economic Impact: DBS anticipates its AI initiatives will generate over £595 million in economic benefits by 2025, following consecutive years of doubling impact.
o Enhanced Customer Experience: AI-driven hyper-personalised prompts assist customers in making better investment and financial planning decisions.
o Employee Development: AI supports employees with tailored career and upskilling roadmaps, fostering long-term career growth.

Sources: DBS Bank news link

 


Upcoming Events

1. Webinar: Transforming Banking with GenAI – 13 February 2025

Join the Financial Times for a webinar exploring the transformative potential of Generative AI (GenAI) in the banking sector. Industry leaders will discuss the latest GenAI applications, including synthetic data and self-supervised learning, and provide strategies for navigating the rapidly evolving AI landscape. Key topics include revolutionising core banking operations, building robust data strategies, and reskilling workforces for future challenges.

Register now: FT link

2. Webinar: AI Maturity & Roadmap: Accelerate Your Journey to AI Excellence – 27 February 2025

Gartner is hosting a webinar focusing on assessing AI maturity and exploring the transformative potential of AI within organisations. The session will utilise Gartner's AI maturity assessment and roadmap tools to outline key practices across seven workstreams essential for achieving AI success at scale. Attendees will gain insights into managing and prioritising activities to harness AI's full potential.

Register now: Gartner link

3. Webinar: What Do CIOs Really Care About? – 13 March 2025

Join IDC for an insightful webinar exploring the evolving priorities of Chief Information Officers in the digital era. The session will delve into how CIOs are balancing innovation with pragmatism, transitioning from traditional IT management to strategic leadership roles that drive business transformation. Attendees will gain perspectives on aligning technology initiatives with organisational goals and the critical role of CIOs in today's rapidly changing technological landscape.

Register now: IDC link

 


Conclusion

Implementing Trusted AI isn’t just a regulatory requirement—it’s a business imperative. As organisations integrate AI into critical decision-making, ensuring trust, transparency, and compliance will define long-term success. By staying informed on evolving policies, adopting strong governance frameworks, and fostering ethical AI practices, businesses can harness AI’s full potential while managing risks.
We’d love to hear your thoughts! Join the conversation, share your perspectives, and stay engaged with us as we navigate the future of responsible AI together.

See you in the next issue!

Rajen Madan

Thushan Kumaraswamy


The Trusted AI Bulletin #1

Issue #1 – AI Advancements and Regulatory Shifts

Introduction

Welcome to the inaugural edition of The Trusted AI Bulletin! As artificial intelligence continues to reshape industries, the importance of robust risk management, deployment processes, transparency and ethical oversight on AI cannot be overstated.

At Leading Point our mission is to help those responsible for implementing AI in enterprises deliver trusted, rapid AI innovations while removing the blockers – be it uncertainty around AI value, lack of trust with AI outputs or user adoption.

This newsletter is your bi-weekly guide to staying informed, inspired, and ahead of the curve in navigating the challenges with AI deployment and realise the opportunity of AI in your enterprise.


Key Highlights of the Week

1. AI Innovations in Financial Services

The UK’s AI sector continues to grow, attracting £200 million in daily private investment since July 2024, with notable contributions like CoreWeave’s £1.75 billion data centre investment. These advancements underscore the transformative potential of AI in sectors such as financial services. From cutting-edge AI models to emerging data infrastructure, staying ahead of these innovations is essential for leaders navigating this rapidly evolving space.

Source: UK Government link

2. UK AI Action Plan

The UK government has officially approved a sweeping AI action plan aimed at establishing a robust economic and regulatory framework for artificial intelligence. The plan focuses on ensuring AI is developed safely and responsibly, with a strong emphasis on promoting innovation while addressing potential risks. Key priorities include creating clear guidelines for AI governance, fostering collaboration between government and industry, and ensuring the UK remains a global leader in AI development. This action plan marks a significant step towards creating a balanced approach to AI regulation.

Source: Artificial Intelligence News link

3. Tech Nation to launch London AI Hub

Brent Hoberman’s Founder’s Forum, announced the London AI Hub in collaboration with European AI group Merantix, Onfido and Quench.ai founder Husayn Kassai and flexible office provider Techspace. The initiative aims to bring together a fragmented sector. Hoberman said the hub would act as a “physical nucleus for meaningful collaboration across founders, investors, academics, policymakers and innovators.

Source: UK Tech News link


Featured Articles

1. 10 AI Strategy Questions Every CIO Must Answer

Artificial intelligence is transforming industries, and CIOs play a key role in aligning AI initiatives with business objectives. The article outlines 10 critical questions that every CIO must answer to ensure successful AI strategy, from building governance frameworks to implementing ethical AI.

Source: CIO.com link

2. AI Regulations, Governance, and Ethics for 2025

The global landscape for AI regulation is evolving rapidly, with regions adopting diverse approaches to governance and ethics. In the UK, a traditionally light-touch, pro-innovation approach is now shifting toward proportionate legislation focused on managing risks from advanced AI models. With upcoming proposals and the UK AI Safety Institute’s pivotal role in global risk research, the country aims to balance innovation with safety.

Source: Dentons link


Industry Insights

Case Study: Mastercard

Mastercard’s commitment to ethical AI governance acts as a core part of its innovation strategy. Recognising the potential risks of AI, Mastercard developed a comprehensive framework to ensure its AI systems align with corporate values, societal expectations, and regulatory standards. This approach highlights the growing importance of AI governance in fostering trust, minimising risks, and enabling responsible innovation.

Key elements of Mastercard’s AI governance strategy include:

o Transparency and accountability: Regular audits and cross-functional oversight ensure AI systems operate fairly and responsibly.

o Ethical principles in practice: AI systems are designed to uphold fairness, privacy, and security, balancing innovation with societal and corporate responsibilities.

This case underscores how robust AI governance can help organisations navigate the complexities of AI deployment while maintaining trust and ethical integrity.

Source: IMD link


Upcoming Events

1. Webinar: A CISO Guide to AI and Privacy – 21 January 2025

Explore how to develop effective AI policies aligned with industry best practices and emerging regulations in this insightful webinar. Maryam Meseha and Janelle Hsia will discuss ethical AI use, stakeholder collaboration, and balancing business risks with opportunities. Learn how AI can enhance cybersecurity and drive innovation while maintaining compliance and trust.

Register now: Brighttalk link

2. The Data Advantage – Smarter Investments in Private Markets – 28 January 2025

This event, run by Leading Point, focuses on the transformative role of data and technology in private markets, bringing together investors, data professionals, and market leaders to explore smarter investment strategies. Key discussions will cover leveraging data-driven insights, integrating advanced analytics, and enhancing decision-making processes to maximise returns in private markets.

Register now: Eventbrite link

3. The Data Management Summit 2025 – 20 March 2025

The Data Management Summit London is a premier event bringing together data leaders, regulators, and technology innovators to discuss the latest trends and challenges in data management, particularly in financial services. Key topics include data governance, ESG data, cloud strategies, and leveraging AI and advanced analytics to drive innovation while maintaining regulatory compliance. It’s an excellent opportunity to network and learn from industry leaders.

Register now: A-Team Insight link


Conclusion

As AI continues to transform industries, the need for operating level clarity and adoption in AI becomes ever more pressing. By staying informed about the latest advancements, regulatory changes, and best practices in AI implementations, enterprises can navigate this landscape effectively and responsibly. We encourage you to engage with this content, share your insights, and join the conversation in our upcoming events and discussions.

Stay informed, stay responsible!

Rajen Madan

Thushan Kumaraswamy