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Episode 42: AI’s Defects: What Are the Limitations?
Today on AI Ignited, host Elif Baser and guest Doruk Vurgun discuss the less glamorous side of artificial intelligence — the defects, flaws, and real-world limitations that are often left out of the hype. AI may be revolutionizing industries, but it’s far from flawless.In this thought-provoking episode, Elif asks the tough questions, and Doruk unpacks them with insights drawn from cutting-edge research at places like MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Oxford’s Institute for Ethics in AI, and Stanford HAI. They explore: Bias in algorithms and how training data often reflects systemic societal inequalities
The limits of machine learning, including the inability to reason abstractly like humans (lack of artificial general intelligence)
Why over-reliance on AI systems in sectors like healthcare, criminal justice, and finance may create systemic vulnerabilities
What’s next: Can AI evolve past these limitations, or are we hitting a ceiling?
This episode is essential for students, tech leaders, and curious minds who want to understand not just how AI works — but where it breaks. Tune in and stay informed about the risks and responsibilities tied to the world’s most powerful digital tool.
The limits of machine learning, including the inability to reason abstractly like humans (lack of artificial general intelligence)
Why over-reliance on AI systems in sectors like healthcare, criminal justice, and finance may create systemic vulnerabilities
What’s next: Can AI evolve past these limitations, or are we hitting a ceiling?
This episode is essential for students, tech leaders, and curious minds who want to understand not just how AI works — but where it breaks. Tune in and stay informed about the risks and responsibilities tied to the world’s most powerful digital tool.
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By Elif BaşerToday on AI Ignited, host Elif Baser and guest Doruk Vurgun discuss the less glamorous side of artificial intelligence — the defects, flaws, and real-world limitations that are often left out of the hype. AI may be revolutionizing industries, but it’s far from flawless.In this thought-provoking episode, Elif asks the tough questions, and Doruk unpacks them with insights drawn from cutting-edge research at places like MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Oxford’s Institute for Ethics in AI, and Stanford HAI. They explore: Bias in algorithms and how training data often reflects systemic societal inequalities
The limits of machine learning, including the inability to reason abstractly like humans (lack of artificial general intelligence)
Why over-reliance on AI systems in sectors like healthcare, criminal justice, and finance may create systemic vulnerabilities
What’s next: Can AI evolve past these limitations, or are we hitting a ceiling?
This episode is essential for students, tech leaders, and curious minds who want to understand not just how AI works — but where it breaks. Tune in and stay informed about the risks and responsibilities tied to the world’s most powerful digital tool.
The limits of machine learning, including the inability to reason abstractly like humans (lack of artificial general intelligence)
Why over-reliance on AI systems in sectors like healthcare, criminal justice, and finance may create systemic vulnerabilities
What’s next: Can AI evolve past these limitations, or are we hitting a ceiling?
This episode is essential for students, tech leaders, and curious minds who want to understand not just how AI works — but where it breaks. Tune in and stay informed about the risks and responsibilities tied to the world’s most powerful digital tool.