As soon as Amazon became aware of this problem they changed the programs. Data is not free from human influence and can be biased in many ways. Using this biased data as training data for an AI can lead to discrimination. Companies have learned from the mistakes of these early adopters. To prevent bias the workings of AI are now being studied more closely and solutions that try to prevent bias are slowly coming to market. Examples of this are Explainable AI and Interpretable Machine Learning. These tools examine the extent to which machine decisions are influenced by bias and provide insight into the reasoning of the computer.
This can show which factors influenced the decision positively or negatively. Thanks to these tools the functioning of the AI becomes much more transparent so that the process can also be made more transparent for the candidates. And that is important for confidence in AI. What do our survey participants say about this Creates Specific Database artificial intelligence in recruiting a fairer process So the question of AI bias is not that easy to answer. In our poll we have a tie of respondents believe that AI can be biased dont. When asked why AI makes the recruitment process fairer one survey participant says The process becomes fairer because AI does not allow personal impressions or personal taste or sympathy to influence the decision.
Another says The AI is unbiased when it comes to a persons appearance where many applicants are already sorted out in the normal way because they dont fit you visually. A survey respondent who doesnt believe that AI can make the recruitment process fairer shares his experience with us AI completely ignores the human component. For example about years ago I hired a -year-old sales representative who was unemployed for a long time had gone bankrupt had not completed his studies i.e. a man who would have failed any AI. But I saw the potential.