Critically analyse the ethical concerns related with AI. Discuss merits and demerits of AI in governance.
The ethical implications of artificial intelligence (AI) in decision-making are profound and multifaceted. One major concern is **bias and fairness**. AI systems can perpetuate or even exacerbate existing biases if trained on biased data, leading to unfair outcomes in areas like hiring, law enforcemRead more
The ethical implications of artificial intelligence (AI) in decision-making are profound and multifaceted. One major concern is **bias and fairness**. AI systems can perpetuate or even exacerbate existing biases if trained on biased data, leading to unfair outcomes in areas like hiring, law enforcement, and lending.
**Transparency and accountability** are also critical issues. AI decision-making processes can be opaque, making it difficult for users to understand how decisions are made and who is responsible for them. This lack of transparency can undermine trust and make it challenging to hold accountable those who deploy and develop AI systems.
**Privacy** is another concern, as AI often relies on large datasets, including personal information, raising questions about data protection and consent. The use of AI in surveillance and data analysis can infringe on individual privacy rights.
**Autonomy and control** are also at stake. Over-reliance on AI for critical decisions might erode human agency and decision-making capabilities, potentially leading to outcomes that do not align with ethical or societal values.
Addressing these ethical concerns requires robust guidelines, transparency in AI development, and continuous monitoring to ensure that AI systems are used responsibly and fairly.
See less
A strong AI code of ethics can include avoiding bias, ensuring privacy of users and their data, and mitigating environmental risks. Few key principles of AI Ethics: Transparency. Make AI system transparent and understand to users and stakeholders. From hiring processes to driverless cars, AI is inteRead more
A strong AI code of ethics can include avoiding bias, ensuring privacy of users and their data, and mitigating environmental risks.
Few key principles of AI Ethics:
Transparency. Make AI system transparent and understand to users and stakeholders. From hiring processes to driverless cars, AI is integral to human safety and wellbeing.
Impartiality. Another key principle for AI ethics is Ensure that,AI system do not discriminate aur exhibit basis based race , gender, ethnicity or other protected characteristics.
Accountability. Accountability is another important aspect of AI ethics.
Data governance and Privacy: Protect user privacy and secured data throughout the AI life cycle.
See less