Ethical Considerations in Data Science
As Data Science continues to advance, ethical concerns regarding data privacy, bias, and security have become major topics of discussion.
Key Ethical Issues:
- Data Privacy – Ensuring compliance with regulations such as GDPR and CCPA.
- Bias in AI Models – Addressing algorithmic bias to prevent discrimination in decision-making.
- Transparency – Ensuring interpretability of machine learning models.
- Data Security – Protecting sensitive information from cyber threats.
Organizations must implement ethical guidelines and responsible AI practices to build trust in data-driven solutions.
