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margin of error
Library
On the other, ML systems have a probabilistic core, hence, as small as it can be, they are always subject to a certain margin of error, which is something that should be clearly and openly communicated as it inevitably affects the UX
technology
подвержены определённой погрешности
О результатах, которые могут отличаться от точного или правильного значения на некоторую величину.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
This study develops a method for evaluating the user experience of systems that incorporate artificial intelligence. It examines existing approaches, validates the AIXE evaluation scale and applies it to domestic smart speakers.
