"1. Privacy concern - AI systems may collect and use personal data without users knowledge or consent. \n2. Data Bias - AI systems are only as good as the data they are trained on; if the data is biased or unlawful, then the AI system may produce unlawful results.\n3. Algorithmic Opacity - AI systems can be too complex to understand and interpret, making it difficult to assess whether the outcomes of AI systems are fair and just. \n4. Automation of Human Bias - AI systems may replicate human biases, prejudices and discrimination. \n5. Lack of AI Understanding - If humans do not have enough understanding of the inner workings of an AI system, they may be unable to identify and rectify any errors. \n6. Job Loss - Automation powered by AI may lead to job losses, particularly in fields like manufacturing.\n7. Security Risks - AI systems may be vulnerable to security breaches, either through malicious humans or malicious systems. \n8. Unintended Consequences - AI systems may produce unintended consequences and behaviors that were not anticipated.\n9. AI Regulatory Compliance - AI systems may present legal and ethical risks if they become too autonomous and difficult to manage and control. \n10. AI Safety - AI systems may cause unintentional harm if they are not designed and tested to ensure safety, security and safety-critical properties."
Create a list of 10 ethical concerns of AI?