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AI Daily Podcast: Building AI We Can Trust
AI Daily Podcast: Today’s episode explores the latest news about innovations in artificial intelligence technology through two powerful themes: the growing debate over what AI can truly be trusted to do, and the industry’s push to build safer, more controllable systems for real-world use.
We begin with a striking contrast. Steve Wozniak wins over graduates with a joke that they already have “AI” — Actual Intelligence — while a separate legal story shows the risks of overrelying on generative AI after a court filing reportedly included fabricated cases, false claims, and misquoted precedent. Together, these stories show how AI tools may sound convincing while still falling short on accuracy, reliability, and judgment.
This episode looks at why the next stage of AI innovation may depend less on raw model power and more on trust, oversight, verification, auditability, and human review. In high-stakes sectors like law, medicine, finance, and education, the future of AI will be shaped by systems that support human decision-making rather than attempt to replace it.
We also examine ESET’s €40 million AI investment and what it reveals about the industry’s evolving priorities. The company is treating AI not only as a breakthrough technology, but also as a new security challenge. With the rapid growth of modular “AI skills” that allow agents to perform tasks, use tools, and connect to outside services, new software supply chain risks are emerging fast.
The episode highlights several major innovation trends: specialized AI models for high-stakes industries, rising concern over AI sovereignty, and the emergence of AI middleware and control layers that monitor, constrain, and validate agent behavior. These governance and security systems may become just as important as the models themselves.
Overall, this AI Daily Podcast episode shows that the future of artificial intelligence innovation is no longer just about building bigger models or delivering flashy demos. It is increasingly about creating AI that is secure, governed, reliable, controllable, and safe enough for real-world deployment.
Links:
Apple co-founder Steve Wozniak’s graduation speech on ‘AI’ sparks cheers: ‘Actual Intelligence’
Roanoke attorney's AI-generated lawsuit dismissed over fabricated case law
ESET invests EUR €40 million in AI cybersecurity R&D
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By Amy IversonAI Daily Podcast: Today’s episode explores the latest news about innovations in artificial intelligence technology through two powerful themes: the growing debate over what AI can truly be trusted to do, and the industry’s push to build safer, more controllable systems for real-world use.
We begin with a striking contrast. Steve Wozniak wins over graduates with a joke that they already have “AI” — Actual Intelligence — while a separate legal story shows the risks of overrelying on generative AI after a court filing reportedly included fabricated cases, false claims, and misquoted precedent. Together, these stories show how AI tools may sound convincing while still falling short on accuracy, reliability, and judgment.
This episode looks at why the next stage of AI innovation may depend less on raw model power and more on trust, oversight, verification, auditability, and human review. In high-stakes sectors like law, medicine, finance, and education, the future of AI will be shaped by systems that support human decision-making rather than attempt to replace it.
We also examine ESET’s €40 million AI investment and what it reveals about the industry’s evolving priorities. The company is treating AI not only as a breakthrough technology, but also as a new security challenge. With the rapid growth of modular “AI skills” that allow agents to perform tasks, use tools, and connect to outside services, new software supply chain risks are emerging fast.
The episode highlights several major innovation trends: specialized AI models for high-stakes industries, rising concern over AI sovereignty, and the emergence of AI middleware and control layers that monitor, constrain, and validate agent behavior. These governance and security systems may become just as important as the models themselves.
Overall, this AI Daily Podcast episode shows that the future of artificial intelligence innovation is no longer just about building bigger models or delivering flashy demos. It is increasingly about creating AI that is secure, governed, reliable, controllable, and safe enough for real-world deployment.
Links:
Apple co-founder Steve Wozniak’s graduation speech on ‘AI’ sparks cheers: ‘Actual Intelligence’
Roanoke attorney's AI-generated lawsuit dismissed over fabricated case law
ESET invests EUR €40 million in AI cybersecurity R&D