There are few technologies that have the potential to go off the rails as you can see with artificial intelligence. In fact, AI risk management should be an integral part of your organization’s Digital Transformation risk management strategy, with AI model monitoring being a key component of an organization’s risk management plan.
There are countless use cases that prove there is a right way and a wrong way to deploy AI. And this isn’t limited to a specific business space or industry. Every organization ought to be continually monitoring AI models, making this a key component of their artificial intelligence deployment strategy.
What is AI Model Monitoring?
A machine learning model serves as the basis of the algorithm that drives an artificial intelligence platform. Machine learning is used to evaluate large volumes of data, which leads to the continual improvement of an algorithm that drives an artificial intelligence software platform’s performance. Except sometimes, those “improvements” aren’t improvements at all! In some cases, the algorithm modifications are very problematic, causing major issues with AI output. This is especially true for cases where AI is used in a gatekeeper role, highlighting the need for regular AI model monitoring.
AI model monitoring involves tracking machine learning-powered artificial intelligence software outputs to ensure accuracy and quality. This provides an opportunity to identify issues such as poor quality predictions and technical performance problems, amongst other things. AI model monitoring can actually be automated to some degree, but ultimately, there must be human intervention, lest you find that your AI has gone off the rails. This can result in a situation where artificial intelligence creates risk management issues at best or fodder for loads of bad press at worst.
Understanding AI Risk Management for Your Organization
AI proponents are seemingly beginning to appreciate AI risks, particularly when it comes to the accuracy of artificial intelligence outputs. One survey found that 54% had concerns over AI output accuracy and 73% understood that AI holds the potential to introduce new security threats. This underscores the importance of working with an AI development company that understands the importance of an effective artificial intelligence risk management strategy, implemented as part of a broader Digital Transformation risk management plan.
What Happens When You’re Not Monitoring AI Models
Recently, Microsoft admitted that it had fired a large segment of its editorial staff, implementing AI in a manner that fulfilled the editors’ role. Except Microsoft failed to properly test and monitor their new AI-powered editorial activities and the problem quickly became evident on Microsoft’s MSN homepage.
Microsoft’s AI technology was publishing fake news stories on MSN and Microsoft’s other content channels. And these weren’t subtle issues; some of the content was downright offensive. For example, the AI published an obituary that called the basketball player “useless.” Other stories were complete fabrications, such as a piece that claimed President Joe Biden fell asleep at an event that never occurred.
This isn’t an isolated incident. AI risks are very real and they prove that you can see very negative consequences when you cut humans out of the equation entirely. These incidents underscore the importance of monitoring AI models and their output as part of your AI deployment. What’s more, there are some AI-powered process automations that simply cannot get the job done without some degree of human involvement. Recognizing those processes can be challenging and some are overly eager to replace humans entirely. But the negative consequences hold the potential to create a major risk management problem — one that cannot be overcome with today’s technology.
Partnering With an AI Development Company That Performs Comprehensive AI Model Monitoring and Testing
At 7T, our AI development team has experience with machine learning-powered AI deployments in a variety of different industries. AI model monitoring and comprehensive testing are central components of our artificial intelligence software development process.
The Digital Transformation development team here at 7T is guided by the approach of “Digital Transformation Driven by Business Strategy.” As such, the 7T development team works with company leaders who are seeking to solve problems and drive ROI through Digital Transformation and innovative business solutions such as multimodal machine learning-powered AI implementations.