👉 Afraid computing refers to the emerging field that addresses the ethical, social, and security implications of artificial intelligence (AI) systems, particularly those that are inherently uncertain or "afraid" due to their complex and often unpredictable nature. This approach emphasizes the need for AI systems to be transparent, explainable, and robust against adversarial attacks, ensuring they operate safely and fairly. It involves developing methodologies to quantify and manage uncertainty, enhance human-AI collaboration, and implement safeguards against malicious use or unintended consequences. By focusing on these aspects, afraid computing aims to build trust in AI technologies and mitigate risks associated with their deployment in critical domains such as healthcare, finance, and autonomous systems.
