Achieving Fellowship of BCS marks more than a personal milestone. It signals a commitment to leadership, ethics, and the lasting impact of technology. Drawing on over two decades of experience in enterprise systems and digital transformation, Shankar Raj FBCS talks to Grant Powell MBCS to explain why professional standards, mentorship, and community engagement are critical in an AI-driven world. He also explains how today’s leaders can balance innovation with accountability to build systems that are resilient, transparent, and truly serve people.

What does achieving Fellowship of BCS mean to you, both personally and professionally, at this stage of your career?

Achieving Fellowship of BCS is a deeply meaningful milestone in my professional journey and an honour that I value greatly. Over the course of more than two decades working across enterprise technology, digital transformation, CRM platforms, and large-scale customer systems, I have always believed that technology professionals have a responsibility that extends beyond technical delivery alone. Fellowship represents recognition not only of technical expertise, but also of leadership, professional contribution, ethical responsibility, and sustained impact within the industry.

Personally, it is rewarding to be recognised by an internationally respected professional body whose principles strongly align with my own values around responsible innovation, professional integrity, and continuous learning. Professionally, it reinforces my commitment to contributing to the broader technology community through leadership, mentorship, and the advancement of human-centred and trustworthy AI practices.

At this stage of my career, Fellowship feels less like a personal achievement and more like a responsibility to help shape the future direction of technology in a thoughtful and accountable way.

As a leader with a passion for mentorship, how has professional engagement shaped your approach to technology and responsibility within the industry?

Professional engagement has had a profound influence and impact on how I view technology leadership and responsibility. Through IEEE leadership activities, global mentoring initiatives, and collaboration with professionals across industries and regions, I have gained a broader perspective on the real-world impact technology decisions can have on individuals, organisations, and society.

These experiences have reinforced my belief that successful technology leadership is not solely measured by technical sophistication, but also by the ability to build systems that are resilient, trustworthy, inclusive, and aligned with human needs. Mentoring professionals across different career stages has also highlighted the importance of developing future leaders who understand both the opportunities and responsibilities associated with emerging technologies such as AI.

Professional communities such as IEEE, IETE, AIS and BCS create important forums for knowledge sharing, accountability, and ethical discussion. They encourage professionals to think beyond immediate business objectives and consider long-term societal impact, which I believe is increasingly critical in today’s technology landscape.

In your view, why are professional standards, ethics, and accountability increasingly important in the development and deployment of AI technologies?

AI technologies are now influencing decisions across healthcare, finance, public services, customer engagement, and many other critical areas. As AI systems become increasingly adaptive and autonomous, ensuring reliability, transparency, fairness, and accountability becomes essential to maintaining public trust and operational stability.

One of the challenges I have become particularly interested in is the growing gap between model accuracy and real-world reliability. In continually learning systems, AI models can appear operationally successful while underlying decision confidence gradually deteriorates over time. This creates risks that may not be immediately visible through traditional performance metrics alone. In high-impact environments, these issues can lead to inconsistent outcomes, reduced trust, compliance concerns, and unintended operational consequences.

Professional standards and ethical governance frameworks are therefore critical because they provide structure, accountability, and safeguards for responsible innovation. They help ensure that organisations do not prioritise deployment speed or short-term optimisation at the expense of reliability, transparency, or human impact.

As AI adoption accelerates globally, professional accountability will become increasingly important in ensuring that technological advancement remains aligned with societal trust and long-term public benefit.

How do you balance technical innovation with a human-centred approach, and what role should professional bodies like BCS play in guiding this balance?

I believe the most effective technology solutions are those that solve meaningful human problems while remaining transparent, accessible, and operationally dependable. Throughout my career, I have worked on large-scale enterprise transformation initiatives where the success of the technology depended not simply on technical capability, but on improving customer experience, reducing operational friction, enabling better decision-making, and strengthening organisational trust.

A human-centred approach means recognising that technology ultimately exists to serve people. This becomes especially important in AI-driven environments, where technical innovation must be balanced with explainability, accountability, governance, and resilience under real-world conditions.

Professional bodies such as BCS play an essential role in guiding this balance by promoting ethical standards, encouraging responsible professional conduct, supporting continuous education, and fostering collaboration across disciplines. They also provide an important independent voice in discussions surrounding emerging technologies and their societal implications.

As AI systems continue to evolve rapidly, professional organisations will play an increasingly important role in helping ensure that innovation remains responsible, trustworthy, and aligned with long-term human and societal interests.

What advice would you give to others aspiring to achieve Fellowship of BCS, particularly those working in fields like AI and complex systems?

My advice would be to focus on building long-term professional impact rather than pursuing recognition itself. Fellowship is not simply a reflection of seniority or technical expertise; it represents sustained contribution, leadership, professional responsibility, and commitment to advancing the profession.

For professionals working in AI and complex systems, technical capability alone is no longer sufficient. It is equally important to develop strong foundations in ethics, governance, communication, collaboration, and human-centred thinking. The technologies being developed today increasingly influence how people interact, make decisions, and place trust in digital systems.

I would also strongly encourage professionals to engage actively with the broader professional community through mentorship, volunteering, standards activities, leadership initiatives, research collaboration, and knowledge sharing. Those experiences often shape professional perspective and maturity in ways that purely technical work cannot.

Ultimately, Fellowship should be viewed not only as recognition of past accomplishments, but as an ongoing responsibility to contribute positively to the future of the profession and the wider technology community.

Shankar Raj is Principal Systems Analyst at Fidelity Investments, a Fellow at IETE , Sr.Member and an elected Secretary for the Utah section at the IEEE.