Artificial intelligence should be guided not only by robust technical standards, but robust ethical standards as well. A key overlapping principle in both of those areas is context. Contextual information not only results in better performing, more accurate AI systems – but also in a clearer ethical perspective for those creating and shaping it.
AI and machine learning systems are more effective, trustworthy, and robust when underpinned by contextual information provided by graph platforms. Mark Needham will walk through why and how context should be incorporated into AI systems to help ensure they are truly reliable, robust, and trustworthy.