Description: Human-data interaction refers to the various ways in which humans relate to and manipulate data, which can significantly influence the outcomes generated by artificial intelligence (AI) systems. This interaction encompasses not only the collection and analysis of data but also the interpretation and use of this data in decision-making. As AI integrates into multiple aspects of daily life, the way humans interact with data becomes crucial to ensuring that results are fair, accurate, and ethically responsible. Ethical considerations arise when examining inherent biases in data, which may result from human prejudices or a lack of diversity in datasets. Therefore, it is essential for designers and users of AI systems to be aware of how their interactions with data can affect the fairness and transparency of outcomes. Human-data interaction involves a technical approach as well as an ethical commitment to ensure that technology serves everyone fairly and equitably.
