South-east Asia’s responsible AI ambition hinges on talent readiness
Ensuring sustainable innovation will depend less on how advanced our systems become and more on how well we prepare our people to guide them
FROM the ambitious appointment of an artificial intelligence (AI) minister in Albania to the United Nations’ stark warnings about the technology’s potential for weaponisation, AI continues to dominate global discourse.
Yet amid the rapid advances and headline-grabbing developments, one critical conversation remains under-discussed: the importance of responsible AI and the role of humans in enabling it.
Fundamental to sustainable innovation, responsible AI is the practice of developing and managing AI systems that maximise benefits and minimise the risks they pose to people, society and the environment.
The private sector, often celebrated for its agility and innovation, is expected to lead the way in translating AI’s potential into real-world impact.
But organisations in Asia-Pacific (Apac) are still in the early stages of doing so responsibly, according to recent Accenture research.
Only 12 per cent of Apac organisations have the knowledge to manage responsible AI, and a mere 1 per cent have scaled their efforts in a systemic, future-proof manner.
To bridge this gap, businesses must start where it matters most – with people. Scaling responsible AI begins with cultivating a workforce that not only understands the technology but also its principles, risks and broader implications.
This means building AI literacy across all levels of the organisation and embedding continuous learning as part of the culture. It also requires using employee feedback to tailor learning experiences that empower individuals to apply their knowledge effectively.
South-east Asia, with its diverse economies and digital-first workforce, is uniquely positioned to lead this next phase of AI maturity. By investing in human capability alongside technological innovation, the region can demonstrate that growth and governance are not mutually exclusive, and that the future of AI leadership lies not in machines alone but in the people who guide them.
Invest in responsible AI literacy
Embracing responsible AI is not just about managing the technology. It is about transforming talent.
The encouraging news is that employees are ready. Accenture research shows that 59 per cent of Apac employees want comprehensive training on responsible AI, while 54 per cent seek clear guidelines for using generative AI tools. This signals a strong appetite for learning and a clear call for organisations to act.
Across the region, forward-looking companies are introducing AI literacy initiatives that combine foundational AI knowledge with modules on ethics, governance and responsible use. Others are embedding responsible AI training into workforce transformation programmes, ensuring employees have the confidence and clarity to apply these principles in their daily work.
By equipping employees with a deep understanding of AI’s potential, risks and biases, while empowering them with responsible usage frameworks, organisations can turn responsible AI into a shared enterprise-wide responsibility.
This not only strengthens trust but also allows innovation to scale safely and sustainably.
The rise of AI is creating demand for a new talent profile: “techno-functional collaborators” who blend technical fluency with sharp business acumen, ethical judgment and human-centric skills.
They serve as the bridge between technology, business and governance, helping ensure that AI is developed and deployed responsibly.
Building trust and confidence through employee engagement
With the foundations of literacy and skills in place, the next step to scaling responsible AI is driving strong employee engagement.
Effective strategies must be developed in close collaboration with employees, ensuring that programmes address the real concerns that may hinder AI adoption and responsible use.
For instance, employees apprehensive about job displacement need initiatives that emphasise transparency and trust-building, while those struggling to integrate AI tools into their day-to-day work will benefit more from hands-on training and peer knowledge exchange.
These valuable insights that are essential for shaping effective workforce transition initiatives can only emerge when organisations establish continuous employee dialogue. Regularly refining and tailoring training programmes to specific roles and AI applications help build confidence and trust as roles evolve, enabling employees to turn knowledge into action.
Scaling AI responsibly starts with talent
The AI opportunity in South-east Asia is immense, but its full potential can only be realised when responsible AI practices are matched by workforce readiness.
Simply put, responsible AI cannot move beyond aspiration unless people are empowered to uphold it. Talent readiness is the foundation of AI impact at scale.
The writer is responsible AI lead, SEA, at Accenture. This commentary draws on perspectives from Advancing Responsible AI Innovation: A Playbook 2025, co-developed by Accenture and the World Economic Forum
