Context
- The rapid expansion of Artificial Intelligence (AI) into domains such as warfare, surveillance, and governance has raised concerns about unchecked concentration of power in private corporations. Instances such as the use of AI-enabled systems in military targeting and surveillance infrastructures highlight the growing role of technology in shaping state behaviour and human lives.
Changing Nature of Power: From Soft Power to Algorithmic Power
- Traditional international influence relied on soft power i.e. moral legitimacy, diplomacy, and cultural appeal.
- AI is enabling a transition towards hard power rooted in technological superiority, where software and data define strategic capability.
- This shift marks the emergence of algorithmic power, where decision-making processes are increasingly automated, predictive, and data-driven.
- Control over AI systems is becoming central to economic dominance, military strength, and geopolitical influence.
- Thus the power is being redefined from persuasion to computation-driven control.
Expanding Domains of AI Influence
- Warfare and National Security
- AI-driven platforms such as Maven Smart System are being used in target identification and military operations, raising concerns about automated decision-making in conflict zones.
- The reduced role of human judgment increases risks related to accountability, proportionality, and ethical conduct in warfare.
- Surveillance and Civil Liberties
- AI technologies are increasingly deployed for mass surveillance, profiling, and predictive policing.
- Use of AI by agencies such as U.S. Immigration and Customs Enforcement (ICE) illustrates risks of privacy violations and discriminatory profiling.
- These practices undermine civil liberties and democratic freedoms.
- Economic and Social Transformation
- AI is restructuring labour markets, production systems, and knowledge economies, with potential for job displacement and widening inequality.
- The concentration of AI capabilities in a few corporations risks creating digital monopolies and economic centralisation.
- Cultural and Creative Dimensions
- AI models rely heavily on human-generated data (literature, art, research), raising concerns over copyright, ownership, and fair use.
- There is a growing fear of erosion of human creativity, agency, and intellectual autonomy.
Associated Issues
- Governance Deficit and Regulatory Vacuum
- There is a glaring absence of comprehensive and enforceable regulatory frameworks, even in advanced economies.
- Technology companies themselves acknowledge that AI is evolving faster than regulatory capacity and societal preparedness.
- Self-regulation mechanisms (ethical codes, “AI constitutions”) remain voluntary and insufficient.
- Delegating ethical responsibility to corporations leads to erosion of public accountability in democratic systems.
- Ethical and Human Concerns
- Increasing reliance on AI risks undermining human judgment, responsibility, and moral agency.
- Algorithmic systems often reproduce biases and discrimination, reinforcing social inequalities.
- AI raises existential questions about human identity, creativity, and autonomy.
- Environmental costs associated with AI infrastructure contribute to climate stress.
Global Responses
- European Union AI Act: Establishes a risk-based regulatory framework for AI systems.
- Brazil’s Position: Emphasises human rights protection, data privacy, and safeguarding creative industries.
- India’s Approach:
- Issued AI Governance Guidelines (2025) recognising risks
- However, remains non-binding and lacks legislative enforcement
- Global discourse reflects growing recognition of risks but insufficient coordinated action.
Way Forward
- Establish Binding Legal Frameworks: Move beyond voluntary guidelines to enforceable regulations governing AI development and deployment.
- Strengthen Democratic Oversight: Ensure that AI remains accountable to public institutions rather than private corporate interests.
- Promote Multilateral Cooperation: Develop global norms and treaties for responsible AI governance.
- Embed Human Rights Safeguards: Protect privacy, fairness, and non-discrimination in AI systems.
- Encourage Responsible Innovation: Balance technological advancement with ethical considerations and social welfare.
Conclusion
- Artificial Intelligence is redefining power in the 21st century, but its unregulated expansion risks creating a world marked by inequality, reduced accountability, and weakened democratic control.
- The future of AI must be shaped through ethical governance, institutional responsibility, and global cooperation, ensuring that technological progress remains aligned with human dignity and societal well-being.
