Technological and ethical aspects of autonomous driving in a multicultural society

Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution

“…Multicultural Teams Should be Formed by Organizations-Recalling the importance of being aware of human and algorithmic biases, AI is less prejudiced when created by multicultural groups [68,69]. Identical blind spots, prejudices, as well as other gaps, exist in more homogeneous teams, which might be captured in the actual models [49].…”

“…Identical blind spots, prejudices, as well as other gaps, exist in more homogeneous teams, which might be captured in the actual models [49]. The individuals who analyse data in an organization, as well as those who develop the algorithms, must have at least some demographic varieties to have a wider range of viewpoints in the process, resulting in even more inclusive AI [68,69].…”

“…Human-centred AI should be Multidisciplinary-Another significant consideration is to tackle AI research from a multidisciplinary standpoint where "engineers, psychologists, designers, anthropologists, sociologists, and experts from other fields should all be included in the human-centred approach" [68,69]. According to Appen [49], developing a successful human-centred AI requires collaboration from several fields to create the hardware or software and analyse user behaviour when dealing with AI in various social circumstances, as well as domain knowledge for applications.…”

“…Due to the disparity in discipline vocabulary and methods, collaboration can be challenging. Scholars have claimed that this wide range of participants' shared interest in human-centred AI is a powerful motivation for familiarizing oneself with and valuing the various ways of obtaining knowledge [68,69].…”

“…ated by multicultural groups [68,69]. Identical blind spots, prejudices, as well as other gaps, exist in more homogeneous teams, which might be captured in the actual models [49].…”