Risk, Science and Decision Making: How should risk leaders of the future work with Artificial Intelligence (AI)?
,

Risk, Science and Decision Making: How should risk leaders of the future work with Artificial Intelligence (AI)?

Findings from a CRO roundtable from the Institute of Risk Management (IRM) Developments in technology continue to disrupt industries and organisations globally, presenting both opportunities and risks. Preparing the risk community for this challenge through education, training, research and networking events is one of the key strategic objectives of the IRM. IRM were therefore delighted…

Findings from a CRO roundtable from the Institute of Risk Management (IRM)

Developments in technology continue to disrupt industries and organisations globally, presenting both opportunities and risks. Preparing the risk community for this challenge through education, training, research and networking events is one of the key strategic objectives of the IRM.

IRM were therefore delighted to have the opportunity with leadership advisory firm Egon Zehnder to bring together a group of Chief Risk Officers, leading academics and risk thinkers for a round-table discussion on the topic of AI and its potential impact on the risk landscape.

Their discussions are summarised in the report which can be downloaded here (please note it is behind a short form.)

Iain Wright, CFIRM, IRM Chair says:

“Risk professionals are going to need to rely on a range of expert advisors when working with AI, going forwards, but will also need to develop skills and expertise themselves.

Reassuringly, it doesn’t look like the role of a CRO will be replaced by an AI black box but, while risk leaders won’t need to be deep experts in the field; they will need to have multidisciplinary training and experience. We can expect CROs to stay involved in deciding risk criteria involving the development and use of AI processes, in which case they will need access to trusted advisors who can translate the concepts”.

Rian Raghavjee, UK Risk Practice Leader, Egon Zehnder added:

“In this world of increasing complexity we are continually inundated with data in our professional and personal lives. And data is driving the AI revolution. This can be overwhelming for many as we search for ways of cutting through the noise for the key insights.

It is also driving an instinctive tendency in all of us to delve further into more esoteric areas of specialisation and deepening our search for domain experts including those in the CRO role. However, the conundrum we face is balancing this quest for technical expertise against the competencies of leadership such as inspiring innovation and exercising judgement. We were delighted to host the roundtable event with our friends at the IRM to explore these themes further”.

Download the report here





← Previous

Climate threats dominate World Economic Forum 2020 risk outlook
Climate threats dominate the World Economic Forum’s (WEF) long-term risk outlook in its Global risks…






Next →

Cyber threats top risk poll
Risk managers have voted cyber threats as the top danger their organisations face in the…

7 OCTOBER 2026

Key elements of a mature programme risk capability

Hosted by Vinay Shrivastava. Vinay's presentation will cover lessons he has learned over the course of his career. These insights will be shared using the principles of ISO31000 risk management.

Find out more

8 OCTOBER 2026

Pre-deployment agentic risk management

Delivered by Adam Grainger, the outcome of this session is to be able to support an agentic implementation with effective pre-deployment risk identification and mitigation.

Find out more

14 OCTOBER 2026

AI Transforming Enterprise Risk Management Activities

Risk management has changed considerably over the years, with new frameworks, standards and expectations shaping the way organisations manage risk. However, many of the day-to-day activities within Enterprise Risk Management (ERM) functions have remained much the same.

Find out more

Advertisement