Main ethical concerns with AI?
Bias in AI:
Concern: AI systems can unintentionally learn and perpetuate biases present in the data they are trained on, leading to unfair or discriminatory outcomes.
Example: Imagine a resume screening AI that learns from historical hiring data. If the historical data has a bias towards a specific gender or ethnicity, the AI might unfairly favor certain groups, making it harder for others to get equal opportunities.
Concern: AI often involves collecting and analyzing large amounts of personal data, raising concerns about how that information is used, stored, and shared without violating individuals’ privacy.
Example: Think about a smart home security system with AI. If it constantly records and analyzes everything that happens in your home, there’s a risk that your private moments could be accessed or misused, raising privacy concerns.
Job Displacement and Economic Impact:
Concern: The automation of jobs through AI and robotics may lead to job displacement for certain roles, impacting employment and potentially creating economic inequality.
Example: In a factory, if robots take over tasks that were previously done by humans, there’s a risk that some workers may lose their jobs. While automation can improve efficiency, it also raises concerns about the livelihoods of those who rely on those jobs.
These ethical concerns highlight the importance of designing and using AI systems responsibly, ensuring fairness, and safeguarding privacy.
Difference between Artificial Intelligence and Machine Learning