👉 Adverse computing refers to the negative impacts or harmful consequences that arise from the use of computing technologies, often stemming from issues like data breaches, privacy violations, algorithmic bias, and the misuse of artificial intelligence. These adverse effects can lead to significant harms, including loss of personal data, discrimination against certain groups, erosion of trust in digital systems, and even physical harm in cases of autonomous system malfunctions. Additionally, adverse computing can exacerbate existing social inequalities and create ethical dilemmas, such as the potential for surveillance overreach or the manipulation of public opinion through targeted misinformation. Addressing these issues requires a multifaceted approach involving robust cybersecurity measures, ethical AI development, transparent data practices, and comprehensive regulatory frameworks.
