Gartner: 4 Key Trends Speeding AI Innovation -- Campus Technology

Research firm Gartner has identified four trends that are driving artificial intelligence innovation in the near term. Stakeholders are demanding increased trust, transparency, fairness and auditability of AI technologies, according to Svetlana Sicular, research vice president at Gartner. Responsible AI provides a governance framework for meeting those requirements: "Responsible AI helps achieve fairness, even though biases are baked into the data; gain trust, although transparency and explainability methods are evolving; and ensure regulatory compliance, while grappling with AI's probabilistic nature," Sicular said. Gartner contends that AI models based on large amounts of historical data have become less relevant as organizations have undergone sweeping changes during the COVID-19 pandemic. Today, small data -- which Gartner defines as "the application of analytical techniques that require less data but still offer useful insights" -- and wide data -- "data that enables the analysis and synergy of a variety of small and large, unstructured and structured data sources" -- enable more robust analytics for decision-making.