Most business organizations do not know or understand the inner workings of artificial intelligence, which creates potential for concerns about fairness, security and privacy. But AI cannot thrive if the business does not trust AI techniques, so organizations need checks and balances to assess and respond to threats and damage and to ensure integrity is embedded into AI.
Gartner refers to its AI risk management framework as “MOST” because it has the following three pillars:
Model Operations, to support the reliability, predictability and accuracy of the AI
Security, to prevent hackers and malicious insiders from manipulating AI inputs, applications and outcomes
Trustworthiness, to support AI fairness, ethics, societal well-being and “responsible AI” overall
As AI goes mainstream in an enterprise, threats will inevitably follow and result in serious organizational risks. Organizations must evaluate the threats proactively. In doing so, they can increase stakeholder trust in AI.
Indeed, Gartner expects that by 2025, regulations will necessitate a focus on AI ethics, transparency and privacy, which will stimulate — instead of stifle — trust, growth and better functioning of AI around the world.