Ethical AI means using artificial intelligence in a manner that is consistent with moral values and principles, including privacy, fairness, transparency, and accountability. On the other hand, unethical AI refers to the use of AI that goes against ethical norms and causes harm to individuals or society, such as through discrimination, privacy invasion, or spreading false information. While ethical AI practices hardly require any additional clarification, the unethical AI examples are:
- Facial recognition technology used for mass surveillance without consent.
- Predictive policing algorithms that reinforce racial biases in law enforcement.
- AI-powered hiring tools that discriminate against certain demographics.
- Social media algorithms that spread fake news and misinformation.
- Autonomous weapons systems that lack human oversight and accountability.
- Healthcare AI systems that unfairly deny access to medical treatment based on biased algorithms.
- AI-powered financial systems that engage in insider trading or price manipulation.
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A Deepfake is a portmanteau of "deep learning" and "fake," referring to hyper-realistic video or audio generated using AI algorithms.
The concept of Robot Rights, or ethical and legal status of robots, remains speculative and polarizing, with passionate arguments on all sides.
Bias in AI refers to the problem of unfair and unequal treatment of certain groups or individuals in artificial intelligence algorithms, models, and systems.