If AI predictions start to significantly trend away from what the organization has experienced in the past, questions need to be asked: Check AI accuracy against outside benchmarks It includes tools to help find and hire the right people for the team. If assembling a team of AI architects has been a challenge at your organization, the experts at TechRepublic Premium have a hiring kit that should help. This diverse team should be kept together as your AI system evolves so your system can maintain its effectiveness and relevance. Without a diverse set of AI collaborators, you risk missing important perspectives and elements for your AI. “Creating effective AI+Human systems will require leaders to engage developers, managers, users, consumers and others to understand AI’s application context,” said Candelon. Here are five strategies that companies can use to ensure that their AI stays relevant and that they don’t lose the value of their AI investment over time: 1. The question is, how many organizations have thought through how they are going to verify, maintain and tune AI systems so they stay relevant? Ways to ensure AI systems are maintaining their function As data and environments change, AI systems must grow and adapt with them. “Post-AI deployment risks arise from an incomplete understanding of the behavioral boundaries, untested failure modes and susceptibility to manipulation by adversarial elements in the deployment environment,” said Francois Candelon, Global Director of the BCG Henderson Institute. AI systems can also process data from a limited number of sources that over time begin to lose their effectiveness because newer, more relevant data sources come online. Tay was one of the first forays into AI learning models and social media, and it ended in disaster.ĪI systems can easily get corrupted and lose effectiveness by processing “poisonous” data (such as deepfakes) that have maliciously been injected into the data the AI is learning from. Soon after it was deployed, Tay began learning from social media and started to spew out racist and hateful comments. Tay was designed to learn from human interactions on social media. In 2016, Microsoft developed a chatbot called Tay. SEE: Artificial Intelligence Ethics Policy (TechRepublic Premium) How important is an AI maintenance and tuneup strategy? This and other surveys show that most companies are in early stages of AI adoption - and they most likely have not yet thought about change management for their AI systems, and what it’s going to take to keep their AI systems up, running and relevant. About 34% reported their companies had not deployed any AI projects.”
In 2021, Spiceworks reported survey results that revealed, “Almost one-third (31%) of the professionals surveyed said their organizations are now using artificial intelligence (AI), and 43% are exploring the technology.
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