Description: Proactivity in AI ethics refers to the practice of anticipating and addressing ethical issues before they arise. This approach involves not only reacting to problematic situations but also foreseeing potential ethical dilemmas and establishing preventive measures. Proactivity is essential in the development and implementation of AI technologies, as they can have a significant impact on society, privacy, and fairness. By adopting a proactive stance, developers and policymakers can identify potential risks, such as biases in algorithms, privacy violations, and misinformation, and work to mitigate them from the outset of the design process. This approach also fosters transparency and accountability, allowing stakeholders, including users and society at large, to engage in discussions about the ethical use of AI. In summary, proactivity in AI ethics is a critical component to ensure that emerging technologies are developed and used in ways that benefit society and minimize potential harms.
