Ethical Concerns
Bias and Fairness: algorithmic bias, AI models can perpetuate or exacerbate biases present in training data, leading to unfair treatment of certain groups.
Misinformation: deepfakes and fake news
Job Displacement: employment impact
Transparency: understanding AI decisions, the "black box" nature of many AI systems makes it difficult to understand how decisions are made
Consent: using personal data, ethical concerns arise over whether individuals have given informed consent for their data to be used in AI training
Manipulation and Exploitation: vulnerable populations, the potential for AI to manipulate individuals, particularly those who are vulnerable, raises ethical issues regarding exploitation
Legal Concerns
Copyright Issues: content ownership and infringement
Data Privacy: personal data at risk
Liability: attribution of responsibility and determining who is liable for harmful or misleading content
Regulatory Compliance: adherence to laws, where regulations can vary by jurisdiction
