Daily Current Affairs : 11-December-2023

In recent news, the European Union (EU) has achieved a significant milestone by reaching a provisional deal on the world’s inaugural comprehensive set of laws governing artificial intelligence (AI). This development marks a pivotal moment in addressing the ethical and practical considerations surrounding AI usage.

EU Framework Highlights

Safeguards and Consumer Empowerment

The legislation within the EU framework introduces safeguards for AI use, particularly within law enforcement agencies. Consumers are now empowered to launch complaints against perceived violations, ensuring accountability in the deployment of AI technologies.

Restrictions on Facial Recognition and Manipulation

A noteworthy aspect of the deal is the imposition of stringent restrictions on facial recognition technology. Additionally, the use of AI for manipulating human behavior is explicitly prohibited, emphasizing ethical considerations in AI application.

Tough Penalties for Rule Breakers

The agreement includes provisions for imposing tough penalties on companies that breach the established rules. This signifies a commitment to enforcing compliance and accountability in the rapidly evolving landscape of AI technology.

Government Surveillance Limitations

Governments are constrained in their use of real-time biometric surveillance in public areas, with permissions granted only in the presence of serious threats, such as terrorist attacks.

Classification of AI Applications

Four Risk Classes

The EU’s legal framework classifies AI applications into four risk classes, ranging from banned applications to those with restrictions and documentation requirements.

Banned Applications

Certain applications, including mass-scale facial recognition and AI tools for behavioral control, are largely banned, with limited exemptions for law enforcement.

High-Risk Applications

High-risk applications, such as AI in self-driving cars, are allowed but subject to certification and a requirement for transparent backend techniques open to public scrutiny.

Medium-Risk Applications

Applications falling in the “medium risk” category, like generative AI chatbots, can be deployed without restrictions, but developers must provide detailed documentation and transparently inform users about AI interactions.

India’s Approach to AI

Digital Public Infrastructure (DPI) Model

India, positioning itself as a technology-savvy nation, has implemented the Digital Public Infrastructure (DPI) model, utilizing technology for governance solutions at a mass scale.

Sovereign AI and AI Computing Infrastructure

India aims to extend its success with DPI to AI, focusing on real-life applications in healthcare, agriculture, governance, and language translation. The establishment of sovereign AI and AI computing infrastructure is seen as a catalyst for economic development.

Important Points:

European Union’s AI Framework: Key Points

  • Provisional Deal: EU achieves a significant milestone with the world’s first comprehensive laws regulating AI.
  • Safeguards and Consumer Rights:
    • Legislation introduces safeguards on AI use within the EU, particularly in law enforcement.
    • Empowers consumers to launch complaints against perceived violations, ensuring accountability.
  • Restrictions on AI Technologies:
    • Strong restrictions on facial recognition technology.
    • Prohibition on using AI to manipulate human behavior.
  • Penalties for Rule Breakers:
    • Provisions for tough penalties on companies violating AI regulations, emphasizing compliance and accountability.
  • Government Surveillance Limits:
    • Real-time biometric surveillance in public areas restricted to serious threats like terrorist attacks.
  • Classification of AI Applications:
    • Four risk classes ranging from banned applications to those with documentation requirements.
  • Banned Applications:
    • Mass-scale facial recognition largely banned with exemptions for law enforcement.
    • AI applications focused on behavioral control also prohibited.
  • High-Risk Applications:
    • AI tools for self-driving cars allowed but subject to certification and transparent backend techniques.
  • Medium-Risk Applications:
    • Generative AI chatbots can be deployed without restrictions.
    • Detailed documentation and explicit user awareness required.

India’s AI Approach: Key Highlights

  • Digital Public Infrastructure (DPI) Model:
    • India positions itself as a technology-driven nation with governance solutions at a mass scale through DPI.
  • Sovereign AI and AI Computing Infrastructure:
    • India aims to extend success with DPI to AI, focusing on real-life applications in healthcare, agriculture, governance, and language translation.
  • Economic Development Catalyst:
    • Sovereign AI and AI computing infrastructure seen as catalysts for economic development.
Why In News

The European Union reached a provisional deal on the world’s first set of comprehensive laws to regulate the use of artificial intelligence (AI), marking a historic milestone in addressing ethical concerns and ensuring responsible AI deployment across various sectors.

MCQs about EU’s Landmark AI Laws

  1. What is the primary focus of the EU’s comprehensive AI framework?
    A. Regulation of social media platforms
    B. Safeguarding AI use in law enforcement
    C. Promoting unrestricted use of facial recognition
    D. Encouraging mass-scale deployment of AI in public areas
    Correct Answer: B. Safeguarding AI use in law enforcement
    Explanation: The legislation’s emphasis on introducing safeguards within law enforcement agencies.
  2. What penalties can companies face for violating the EU’s AI regulations?
    A. Tax incentives
    B. Tough financial penalties
    C. Public commendations
    D. Regulatory exemptions
    Correct Answer: B. Tough financial penalties
    Explanation: The provisions for imposing tough penalties on companies breaking the established AI rules.
  3. Which of the following is a restriction imposed by the EU on AI technologies?
    A. Unrestricted use of facial recognition
    B. Prohibition on real-time biometric surveillance
    C. Encouragement of AI manipulation of human behavior
    D. No documentation requirements for AI applications
    Correct Answer: B. Prohibition on real-time biometric surveillance
    Explanation: The restrictions on the government’s use of real-time biometric surveillance in public areas.
  4. What classification does the EU legal framework provide for AI applications?
    A. Two risk classes
    B. Three risk classes
    C. Four risk classes
    D. Unlimited risk classes
    Correct Answer: C. Four risk classes
    Explanation: The classification of AI applications into four risk classes, each with specific regulations and requirements.

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