Responsible AI - AI with a Conscience | Episode 4 | Learning Kerv

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In this episode, we tackle some of the most pressing questions surrounding the ethical, privacy, and security concerns of AI systems. From safeguarding your personal data to understanding the environmental impact of generative AI, we explore the steps individuals and organisations must take to ensure AI is developed and used responsibly.

Whether you’re a tech enthusiast, a data privacy advocate, or someone curious about the future of AI, this episode provides valuable insights on how to navigate the complex landscape of Responsible AI.

Key Highlights:

  • Security vs Data Privacy: Why It Matters: Understand the key differences between security (protecting systems from threats) and data privacy (safeguarding personal information). Learn why both are crucial when developing and using AI systems.
  • Concerns for Your Private Life: Explore how AI may impact your privacy, from data collection to digital tracking, and what you should be aware of to protect your personal information in an AI-driven world.
  • Security Risks in AI: Delve into the major security concerns surrounding AI, including vulnerabilities in AI models, data breaches, and how malicious actors could exploit AI systems.
  • Relevant Regulations: Learn about current laws and regulations governing AI, data privacy, and security. We discuss frameworks like GDPR and emerging policies to ensure AI development remains ethical and compliant.
  • Addressing AI’s Environmental Impact: Discover the environmental challenges posed by Generative AI, such as high energy consumption and carbon emissions, and explore ways organisations and developers can reduce AI’s ecological footprint.
  • Ensuring Adherence to Ethical Guidelines: Find out how organisations and individuals can ensure adherence to responsible AI practices, including transparency, fairness, and bias mitigation, to keep AI systems aligned with ethical standards.

Tune in to this episode on Responsible AI to learn how to navigate the ethical, privacy, and security challenges of AI.

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