Biasness的意思是偏见，偏心，不公平。
例句：The media has a tendency to show an unbalanced biasness towards certain topics.
媒体倾向于对某些话题表现出不均衡的偏见。
在英文范文当中，可能会根据上下文和具体语境来使用biasness这个词。
Biasness的意思是“偏见，偏爱，偏斜，偏心”。
以下是一篇可能与Biasness相关的英文范文：
As a software engineer, I often encounter biasness in the workplace. Although we try our best to eliminate biasness, it still exists in various forms. For example, some people may be overlooked for promotions because of their gender or race, while others may be favored because of their perceived leadership abilities or technical expertise. Similarly, we may see biasness in the way that some projects are prioritized over others, or in the way that certain tasks are assigned to certain individuals.
In addition, biasness can also be seen in the way that feedback is given. Some managers may focus more on the strengths and achievements of their subordinates, while others may be more concerned with their weaknesses or areas for improvement. This can lead to a sense of unfairness and dissatisfaction among employees, which can have a negative impact on team morale and productivity.
To address biasness, it is essential to promote an inclusive and equitable culture. This can be achieved through regular training and education on diversity and inclusion, as well as by encouraging employees to speak up and provide feedback when they feel that they are being treated unfairly. Additionally, it is important to create an environment where everyone is treated with respect and dignity, regardless of their gender, race, age, sexual orientation, or other personal characteristics. Only then can we truly eliminate biasness and create a more equitable and productive workplace.
Biasness的意思是“偏见，偏心”。它通常用来描述在处理数据或做出决策时，由于个人喜好、刻板印象或其他不公正的因素而导致的倾向或偏向。
在英文范文方面，Biasness通常指的是在写作或讨论中，作者或发言者是否存在偏见或歧视。这可能包括对特定群体、文化、性别、种族等的偏见，或者对某一观点、事实或数据的过度或不合理的强调。
至于最新变化，Biasness这个词汇本身并没有发生太大的变化。它仍然被广泛用于描述处理数据或做出决策时的偏见问题。然而，随着数据科学和人工智能领域的快速发展，对于偏见的意识和处理方式也在不断演变。现在，许多研究人员和从业者都更加重视公平性和公正性，并努力减少在数据收集、处理和分析过程中的偏见。