📍 ✅ Ethics in AI

• AI technologies today can:
  • Scrape billions of images
  • Identify facial patterns
  • Generate deepfakes
• Raises significant ethical questions about privacy, consent, and misuse.
• While responsible corporations avoid such uses, decentralized or unregulated platforms might exploit them due to market pressure.

📍 ✅ Current Ethical Dilemmas

• AI is being deployed in:
  • Surveillance systems
  • Hiring and recruitment processes
  • Content generation and deepfakes
• Raises concerns over:
  • Bias in datasets
  • Lack of transparency
  • Discrimination and profiling
• These dilemmas suggest that ethical self-regulation may not be enough—legal standards may become necessary.

📍 ✅ Need for Ethical Standards

• Businesses operate in a grey zone—navigating ethics outside formal legislation.
• Ethical choices must be:
  • Deliberate
  • Transparent
  • Publicly accountable
• Events like Hindu Huddle 2025 aim to:
  • Address AI ethics
  • Explore business accountability
  • Discuss the role of legal frameworks in regulating AI

📍 ✅ Future of AI and Ethics

• As AI-generated content becomes widespread, ethical concerns will rise around:
  • Authorship and originality
  • Algorithmic bias
  • Deepfake misinformation
• Industries must establish ethical codes to protect:
  • Creative integrity
  • Public trust
  • Societal well-being