Skip to main content
Perceptio Lab
Article

The critical importance of inclusivity in AI

For AI to deliver genuine progress, inclusion must be a core priority and guiding principle of AI development and adoption.

5 min readBy Megha Kumar
Briefing details
Article
Outlet
Business Reporter
Published
Reading time
5 min read
Author
Megha Kumar

Share

The critical importance of inclusivity in AI
Cover image for The critical importance of inclusivity in AI

Executive summary

Board briefing at a glance
Distilled for CISO, CTO, and board audiences.

Key takeaways

  • The AI field remains stubbornly homogeneous. This is not in the long-term interest of anyone, vendors, deployers or users.
  • Organisations known for non-inclusive AI practices will struggle to attract and retain top talent, particularly younger professionals who often prioritise DEI.

Business impact

Businesses that deploy faulty AI systems risk investor criticism, potential penalties, and loss of market trust.

Recommendation

Improve diversity within AI teams, test the model throughout its deployment life-cycle, and ensure robust governance and human oversight.

M

Megha Kumar

CEO

Domain Expert

LinkedIn5 published articles

Few topics in 2025 are as hot as generative AI.

 Today’s models are underpinned by advanced reasoning capabilities, enabling them to solve complex problems with logical steps, resembling the way humans think through and respond to challenging questions. 

 Such capabilities have massive potential for fields like science, maths, medicine and law. However, the success of generative AI in these fields doesn’t rely on reasoning algorithms and huge datasets alone. For AI to deliver genuine progress, inclusion must be a core priority and guiding principle of AI development and adoption. 

 That idea has come under fire in recent times, with DEI programmes often maligned as so-called ‘woke capitalism’. However, an unwillingness to engage with the issue of socio-economic inclusion is particularly perilous for companies counting on AI solutions to deliver business growth.

...

Read the full article

Need help assessing your organization's cyber exposure?
Our analysts can translate this briefing into a prioritized control plan for your environment, sector, and risk appetite.

Continue reading

Further briefings aligned to this exposure area.

Why AI’s Resource Footprint Needs to Be Addressed
Article
5 min read

Why AI’s Resource Footprint Needs to Be Addressed

For businesses and public services, generative AI provides the means to transform their operations, making them more efficient and effective. Yet its high resource consumption means developers and users must find ways of deploying it sustainably – otherwise, they may not only struggle to achieve their ESG goals but also hamper global efforts to decarbonise.

  • Corporate Responsibility
  • Artificial Intelligence
Read insight →
AI as a global catastrophic risk
Article
5 min read

AI as a global catastrophic risk

Dr Megha Kumar explains why corporate responsibility can no longer be optional

  • Artificial Intelligence
Read insight →
Leading across boundaries: Dr Megha Kumar on trust, digital risk, and resilient leadership
Interview
5 min read

Leading across boundaries: Dr Megha Kumar on trust, digital risk, and resilient leadership

Curiosity and connection shaped Dr Megha Kumar’s career. Now, as digital risk becomes boardroom priority, her interdisciplinary leadership helps companies navigate trust gaps and a new era of accountability.

  • Artificial Intelligence
  • Geopolitics
  • Supply Chain
  • Leadership
Read insight →

Get in touch

Request Platform Demo

Book a slot