Description: Unconventional approaches in ethics and bias in artificial intelligence (AI) refer to innovative methods that challenge traditional ethical frameworks in the development and application of AI technologies. These approaches aim to address complex and multifaceted issues arising from the interaction between technology and society, especially in a context where algorithms can perpetuate or even amplify existing biases. Conventional approaches often focus on transparency, accountability, and fairness, but unconventional approaches may include broader perspectives, such as incorporating diverse voices in the design process, considering long-term impacts, and integrating ethical principles from the early stages of development. These methods can involve interdisciplinary collaboration, community engagement, and the use of emerging technologies to create fairer and more equitable solutions. The relevance of these approaches lies in their ability to adapt to a rapidly evolving technological environment, where ethical challenges are increasingly complex and require creative and flexible responses.
