Sign In

John Clarke

Senior Board Exec leading organisations to build digital & innovation platforms, leading major multi-discipline transformations, and engaging purpose, passion, engagement, execution to deliver real outcomes.

John Clarke is an experienced technology executive and digital transformation expert with a diverse career spanning multiple industries. He served as the Interim Chief Information Officer at Primark from January 2020 to February 2021.2 Currently, he holds several prominent positions:

  1. Non-Executive Chair at Companies House (since March 2023)23
  2. Non-Executive Chair at UK Shared Business Services Ltd (UK SBS) (since July 2021)26
  3. Non-Executive Chair at UK Ministry of Defence (since April 2021)2

Clarke has an extensive background in technology leadership roles, including:

  • Chief Technology Officer at Tesco13
  • Chief Information Officer at Nokia3
  • Interim Chief Information Officer at Morrisons13
  • Partner at EY (Ernst & Young)13

He is known for his expertise in digital transformation, AI, data leadership, and large-scale software delivery.4 Clarke has led numerous digital transformations, developed global business services, and managed shared services, digital, and cyber operations.13

In addition to his executive roles, Clarke is pursuing a Master's degree in systemic and executive coaching at Hult Ashridge Business School.2 He is also an advisor to private and public bodies on business and digital transformation.5

Highlights

Aug 19 · linkedin

Economic criminals will go to staggering extremes to steal your money. I am sharing this recent video blog from James, whom I regularly listen to, and so should you. He has a great style and substance; we do not have a commercial relationship.

He highlights a simple awful truth. AI is increasingly used in scamming activities, making scams more sophisticated, personalized, and challenging to detect. The rise of AI-powered tools has significantly enhanced scammers' ability to deceive individuals and organizations. It is used in numerous ways:

Deepfake Technology:

Scammers use AI to clone voices, making it easier to impersonate trusted individuals like executives, family members, or colleagues. This has led to scams where individuals are tricked into transferring money or sharing sensitive information. AI-generated videos can convincingly depict someone saying or doing things they never did. This technology is increasingly used for blackmail, fraud, and spreading misinformation.

AI-Generated Phishing Attacks:

AI can analyse large amounts of data from social media and other sources to create highly personalized phishing emails that are more convincing and harder to detect. Automated Spear-Phishing: AI can automate spear-phishing attacks, where the content is tailored to specific individuals within an organization, increasing the chances of success.

Chatbots and Conversational AI:

AI-driven chatbots can engage potential victims in realistic conversations, tricking them into revealing personal information or making financial transactions. Scammers use AI chatbots that mimic legitimate customer service agents, deceiving users into sharing passwords, credit card details, or other sensitive data.

AI can analyse online behaviour patterns to craft scams that are more likely to succeed. For instance, AI can predict when someone is most likely to be responsive to fraud based on their online activity.

How to Respond to AI-Powered Scams

This could be a long – long list, but I think it is essential that we:   Regulate Deepfake Technology: Government and regulatory bodies should consider laws to regulate the misuse of deep fake and voice cloning technologies, including penalties for those who create or distribute malicious deep fakes.

Strengthen Data Privacy Laws: Enhanced data protection regulations can limit the data available to scammers, making it harder for them to execute personalized attacks.

Increase Collaboration Between Sectors:

Governments, tech companies, and financial institutions should collaborate to develop robust frameworks for detecting and preventing AI-powered scams. Sharing information about emerging threats can help prevent them.

We must further develop and enforce industry standards for AI ethics and responsible use, particularly in sectors vulnerable to fraud, such as finance and healthcare.

Aug 19 · linkedin

It is encouraging that organisations and their boards pay more attention to the opportunities and potential hazards AI can present. However, boards still need to significantly change their approach to adopting a multifaceted approach that combines education, risk assessment, and strategic oversight.

How ?

Invest in AI Education:

This feels timely for me as I embark on my next educational course. Like me, boards should prioritise AI education to understand its capabilities, limitations, and potential impact on their industry. This could involve bringing in AI experts (or talk to someone like me, who combines an AI & Board Governance leadership matter expert – hello) for briefings, attending relevant conferences, or engaging in continuous learning initiatives. Boards to stay informed about the latest advancements in AI, including generative AI, machine learning, and automation technologies, as well as their implications for business and society.

Understand AI Ethics and Governance:

Boards need to grasp the ethical considerations and governance challenges associated with AI, such as bias, transparency, accountability, and data privacy. Understanding these issues is crucial for managing AI-related risks and ensuring responsible AI deployment.

Conduct AI Risk Assessments:

Boards should push for comprehensive risk assessments to identify how AI could impact their business. This includes evaluating risks related to cybersecurity, data privacy, intellectual property, job displacement, and operational disruption. Companies should assess the direct risks (e.g., AI system failures) and indirect risks (e.g., loss of competitive advantage due to AI-driven competitors). Integrate AI into Enterprise Risk Management (ERM):

Align AI Strategy with Business Objectives:

Ensure that the company’s AI strategy aligns with its overall business objectives. This involves questioning how AI can be leveraged for growth, innovation, and efficiency while also considering potential risks—challenge management to clearly articulate how AI investments will drive value and mitigate risks over the long term.

Oversee AI Governance Frameworks:

Boards should oversee developing and implementing AI governance frameworks that establish clear guidelines for AI usage, data management, and ethical considerations. This includes setting up committees or task forces to monitor AI initiatives and ensuring that AI governance is integrated into the company’s overall governance structure.

Stay Informed on AI Regulations:

Boards must stay abreast of evolving regulatory frameworks surrounding AI, including data protection laws, AI-specific regulations, and industry standards. This will help them anticipate compliance challenges and adapt their strategies accordingly. Engaging with regulators and participating in industry discussions on AI can provide boards with insights into future regulatory trends. If they haven’t done so already, they should read the latest EU AI Act.

Related Questions

What are John Clarke's key achievements at Primark?
How has John Clarke contributed to digital transformations in the retail industry?
What is John Clarke's role at UK Shared Business Services?
How did John Clarke's experience at Tesco influence his career?
What are some notable projects John Clarke has led at EY?
John Clarke
John Clarke, photo 1
John Clarke, photo 2
Add to my network

Location

Great Missenden, England, United Kingdom