How Neural Networks Can Cause Harm
Neural networks, while sophisticated, are not flawless and can cause harm in various scenarios, including:
AI systems can generate and spread false or misleading information that can influence public opinion, sow confusion, or cause reputational damage. An infamous case involved AI-generated fake news articles that manipulated public understanding during significant events, with long-term consequences for individuals and communities.
AI-powered automation is replacing human workers in many industries, particularly in roles like customer service, manufacturing, and logistics. Workers who are replaced by AI often struggle to find employment, leading to economic instability and social stress.
AI systems, when used without caution, can provide inaccurate or even dangerous advice. In one case, an AI chatbot gave potentially harmful medical advice, which could have jeopardized a user’s health if followed.
Many AI systems trained on biased data can perpetuate or even exacerbate discrimination. For instance, AI used in hiring processes has been shown to favor certain demographics over others, while facial recognition technology has misidentified individuals, leading to wrongful arrests in some cases.