This study has investigated what current problems exist in the realm of decision making AI. This has been achieved by analyzing current literature between 2010 to 2019. Using a systematic literature review as the research method, the end product shows what problems are the toughest to solve within a certain time period.

To conduct this study there had to be a need to conduct this literature review. Due to the fact that there is not any compilation that has specifically targeted the downside and problems that can occur when implementing an artificial intelligence (AI). For these reasons the following research question was conceived:

"What are the current problems concerning data analysis conducted by AI?"

In order to get a deeper understanding about certain where AI can go wrong, a theoretical framework has been created, explaining a few frequent terms used in the subject area.

The primary problem areas were found to be the interpretation, or the misconfiguration, of the data that could cause negative effects, i.e. discrimination.