AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion cover image

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

AI Today Podcast: AI Glossary Series – Malicious AI, Adversarial Attack, DeepFake

Nov 20, 2023
The podcast discusses the importance of understanding ethical concepts in AI and explores terms like malicious AI, adversarial attacks, and deep fakes. It highlights various ways AI can be misused, including AI impersonation, adversarial attacks on machine learning systems, surveillance evasion, and deep fakes. The risks and consequences of malicious AI, particularly deepfakes, are explored, as well as the impact of deep fakes on trust and the challenge of differentiating real and fake news.
14:54

Podcast summary created with Snipd AI

Quick takeaways

  • Malicious AI highlights the importance of building trustworthy and ethical AI to avoid its criminal and dangerous use.
  • Adversarial attacks manipulate machine learning systems through intentionally designed input images, posing challenges to trust and reliability.

Deep dives

Malicious AI

Malicious AI refers to the intentional use of AI for criminal, unethical, or dangerous purposes. This includes automating attacks, disinformation campaigns, autonomous bad bots, and physical or cyber attacks. It highlights the importance of building trustworthy and ethical AI as we integrate it into our everyday lives.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode