负责任的AI既不是独立的技术，也不仅仅是政策与最佳实践的集合。它深度融入技术和非技术领域，涵盖机器学习、生成式AI与语言模型、时间序列数据、计算机视觉、语音识别，以及所有类型的智能软件、传感器和硬件。AI带来的风险影响着企业与个人——负责任AI必须确 ...

This supercharging of extremist rhetoric will only amplify and encourage the antisemitism that is already surging on X and ...

As tech writer Scott Clark noted on CMSWire recently, explainable AI provides necessary insight into the decision-making process to allow users to understand why it is behaving the way it is.

So, too, could shifting public opinion on AI transparency. In a 2021 report by CognitiveScale, 34% of C-level decision-makers said that the most important AI capability is “explainable and ...

The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and ...

By adopting a human-centric approach, we have the opportunity to quash the fears surrounding AI transformation well in ...

Explainable AI begins with people. AI engineers can work with subject matter experts and learn about their domains, studying their work from an algorithm/process/detective perspective.

Data Squared (Data²), a small business dedicated to helping public and private sector organizations unlock the full potential of their data, is partnering with Neo4j, a leading graph database and ...