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- India’s Anti-Defection Law: Why the Voter Must Be Supreme
- Goa Nightclub Fire: Supreme Court Upholds Bail Cancellation of 3 Accused
- Omissions and Commissions in an FIR: Legal Significance & Judicial Scrutiny under BNSS, 2023
- Types of Bail Under the Bharatiya Nagarik Suraksha Sanhita, 2023
- Feminist Criminology: Gender, Power, and the Transformation of Criminal Justice
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- UAE Travel Ban 2026: Check, Reasons, Removal & Legal Remedies
- Arbitration vs Litigation in the UAE: Which Is Better for Commercial Disputes?
Author: Shourya Singh
🎖️ Recognition · LSI Author 📚 1 Published Articles
First-Year Law Student at NLU Jodhpur | Passionate About International Law, Human Rights & Global Diplomacy | Research Enthusiast | Future Policy Shaper | Interested in ICJ, UN & Global Governance
Employment law has always aimed to maintain fairness, from the Statute of Labourers 1351 to modern workplace protections.
The rise of AI in hiring and management creates risks of bias, as seen in Amazon’s failed recruitment system and Microsoft’s chatbot Tay.
Cases like the UK DWP disability assessment show the dangers of “black box” decision-making and lack of transparency.
Current laws rely on equality principles but leave gaps on AI liability and accountability in the workplace.
With AI becoming central to employment, clear legislation is needed to regulate its use, protect workers, and preserve fairness in society.
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ISBN: 978-81-928510-0-6

