A Survey of Artificial Intelligence Risk Assessment Methodologies
Artificial Intelligence (AI) systems are increasingly being deployed in a wide range of applications. For many of these, a failure of the system would be embarrassing and inconvenient, but otherwise harmless. Failures in other applications, such as credit assessments, recruitment, medical diagnostics, (semi-)autonomous vehicles and
power grid load distribution systems, however, would have significant.
IRMSA Risk Report – South Africa Risks 2021
There is no doubt that 2020 will go down as a year to be remembered. While the Covid-19 pandemic has had an enormous impact,
the year brought many challenges, from the forest fires in Australia at the beginning of the year to the volcano eruption in the Philippines, followed by a long list of hurricanes and widespread social unrest in the US. All of these have highlighted the reality of
persistent and disruptive volatility. There is no reason to think that volatility will decrease - in fact, it is only likely to increase.
James Lane Allen said, “Adversity does not build character, it reveals it”. The adversity we are operating under is continuing to reveal
the importance of risk management and business resilience. It has changed the way we are, the way we work, the way we think
and the way we act. It has accelerated innovation and digitalisation, and created an imperative for companies to transform their
operations. It’s no longer the big fish eating the small – it’s the fast fish eating the slow fish (World Economic Forum). It’s now about
agility and how quickly we respond to changes, and the making of better-informed, faster decisions to survive in a rapidly changing
environment.