Artificial Intelligence: Defender or Offender? Unveiling the Struggle for Control and Access in the Digital Age

Introduction: The AI Paradox

Artificial intelligence (AI) has become a dual instrument in modern society: on one hand, it is a tool for progress and security; on the other, it is a vehicle for crime and inequality. This article analyzes the dynamics between defensive AI and offensive AI, as well as disparities in access to technology among the population, authorities, and private entities.

1. Offensive AI: Threats and Vulnerabilities

1.1. Advanced Cybercrime

Criminals use AI to conduct sophisticated attacks, including fraud, money laundering, and child exploitation. For example, AI-generated algorithms can create convincing deepfakes to deceive identity verification systems or defame individuals 14.

• Case study: In 2024, an AI-powered worm infiltrated an Iranian nuclear facility, substituting monitoring data and causing significant physical damage 1.

1.2. Autonomy and Evasion of Accountability

Highly autonomous AI systems can make decisions beyond the predictions of their programmers, creating a “liability vacuum” in criminal law. For instance, an autonomous vehicle causing a fatal accident can make it difficult to assign blame 15.

• Legal challenges: Discussions regarding the criminal capacity of AI are ongoing, with some experts arguing that AI should be held responsible in its own name 1.

2. Defensive AI: Applications in Security and Justice

2.1. Applications in Combating Crime

• TRACE Project: Using AI to track illicit money flows and identify money laundering networks 5.

• Advanced forensics: AI systems analyze complex DNA evidence, recognize biometric patterns, and detect AI-generated content in criminal investigations 7.

2.2. Enhancing Judicial Processes

• Conversational simulations: In the United States, a crime victim “spoke” in court through an AI simulation, opening debates on legal validity and ethical implications 9.

• Risk assessment: AI tools are used to predict recidivism or investigation evasion risks in the criminal justice system 7.

3. Disparities in AI Access: Population vs. Authorities

3.1. Access of Authorities and Private Actors

• Massive resources: Governments and corporations invest huge sums in AI. For example, the U.S. “Stargate” Project, worth $500 billion, aims to build advanced AI infrastructure 7.

• Omnipresent surveillance: Facial recognition and automatic license plate recognition systems allow authorities to monitor populations on an unprecedented scale 7.

3.2. Barriers for the General Population

• Cost and infrastructure: Individuals and small businesses have limited access to AI technology due to high costs and infrastructure requirements 8.

• Educational disadvantages: Many educators feel unprepared to teach about AI, and developing countries face gaps in access to basic infrastructure, such as electricity and internet 8.

3.3. Implications for Fundamental Rights

• Erosion of privacy: Massive data collection by authorities and private entities can violate rights to privacy and data protection 712.

• Discrimination risk: Biased algorithms can perpetuate social inequalities, affecting the rights of vulnerable groups 7.

4. Regulations and Ethics: Balancing the Scale

4.1. Global Regulatory Initiatives

• EU AI Act: Sets strict requirements for high-risk AI systems, including transparency and fundamental rights impact assessments 12.

• U.S.: The Trump administration’s AI Action Plan focuses on American leadership, reducing regulatory barriers, and national security 2.

4.2. Ethical Challenges

• Accountability and transparency: It is essential to establish clear accountability frameworks for AI actions and ensure transparency in decision-making processes 15.

• Consent and autonomy: The use of personal data to train AI systems requires informed consent, and the autonomy of these systems must respect human rights 912.

5. Recommendations for an Equitable and Secure Future

1. Improving Access to Education: Integrating AI into school curricula and adult training programs, supported by initiatives like Erasmus+ 6.

2. Inclusive Policies: Governments should develop policies promoting equitable access to AI technology and protecting vulnerable groups.

3. International Cooperation: States must collaborate to harmonize regulations and combat cross-border crime fueled by AI 14.

4. Research and Development: Investments in research to enhance AI security, reduce algorithmic biases, and develop ethical standards 8.

Conclusion: Building a Responsible Future

Artificial intelligence can be an unprecedented tool for progress, but only if society guides it with wisdom, ethics, and responsibility. Balancing power between powerful entities and the population, as well as mitigating risks associated with AI crime, is essential to ensure a future where technology serves all of humanity.

Author:

Robert Williams

 

Editor in Chief
Date: August 25, 2025