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Answer :
Ethical Issues of AI: Some ethical issues related to AI include privacy concerns, accountability for decisions made by AI, transparency in AI algorithms, and the impact of AI on employment.
Examples of Human Rights Violations of AI:
- Surveillance systems using AI that infringe on privacy rights.
- Bias in AI systems leading to discrimination in hiring or lending practices.
Ethical Issues Related to AI:
- AI Setup: Ensuring data privacy and consent when collecting data for AI systems.
- AI Actions: Accountability in decision-making and ensuring systems do not cause harm.
- AI Impact: Addressing the socio-economic consequences, like job displacement.
- AI Future: Managing long-term risks of advanced AI and ensuring ethical standards evolve with technology.
What is Deepfake?: Deepfake is a technology that uses AI to create realistic fake videos or audio recordings, often used maliciously or deceptively.
What is AI Bias?: AI bias occurs when an AI system produces prejudiced outcomes due to underlying data or algorithmic processes.
- Example: A hiring algorithm that prefers one gender over another because of biased training data.
Fairness of an AI Model: Ensuring an AI model makes unbiased and equitable decisions across different demographic groups.
Role of Training Data in AI: Training data is crucial as it helps the AI learn patterns and make decisions. Its quality and diversity can significantly impact AI performance and fairness.
Define AI Ethics: AI ethics involves the principles and practices designed to ensure responsible development and use of AI technologies.
Ensuring Bias Does Not Creep in Data:
- Use diverse and representative datasets.
- Regularly audit AI systems for fairness.
- Implement bias detection tools and techniques.
Define AI Ethics: As previously stated, AI ethics refers to a set of guidelines that govern the ethical implications and practices around the development and deployment of AI technologies.
Ethical Issues Related to AI: Includes challenges like privacy invasion, data security, autonomous decision-making, and the moral responsibility of AI-driven actions.
Deepfake and AI Ethics: Deepfakes pose ethical issues as they can lead to misinformation, identity theft, and the spread of fake news, challenging trust and integrity.
What is AI Bias?: AI bias remains a critical concept in understanding how prejudices can emerge within AI systems, influenced by biased datasets or algorithms.
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