Abundance Institute | AI is intelligent, but that doesn’t mean it’s smart | Dr. Melanie Mitchell @AbundanceInstitute | Uploaded October 2024 | Updated October 2024, 1 hour ago.
AI expert Melanie Mitchell shares her take on artificial intelligence—especially what it means to be “intelligent” to begin with.
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Dr. Melanie Mitchell, a leading expert in artificial intelligence, examines the mounting fears surrounding AI, especially as these systems achieve increasingly human-like conversational abilities. She warns that these fears, if unchecked, could lead to overregulation and reduced transparency, making AI less safe and beneficial in the long run.
Mitchell explains that true intelligence, including human intelligence, involves social awareness and understanding the broader impact of actions—capabilities current AI doesn’t have. According to Mitchell, the idea of a superintelligent AI pursuing harmful goals is unrealistic; AI's capabilities, she says, are still very far from this scenario.
Mitchell also introduces "Moravec's Paradox," where tasks that are straightforward for humans, like social interactions, are surprisingly difficult for AI, while complex tasks, like chess, are easier for machines. Despite fears, she emphasizes the immense potential of AI to further develop medical, scientific, and academic innovations. This development, she explains, cannot happen if fear forces overregulation and tight restrictions on its use.
AI expert Melanie Mitchell shares her take on artificial intelligence—especially what it means to be “intelligent” to begin with.
Subscribe to Abundance Institute on YouTube ► youtube.com/channel/UCP0Pf2ycSsqtEhgJZeT4N2w
Sign up for our newsletter, coming soon ► https://linktr.ee/abundance.institute
Dr. Melanie Mitchell, a leading expert in artificial intelligence, examines the mounting fears surrounding AI, especially as these systems achieve increasingly human-like conversational abilities. She warns that these fears, if unchecked, could lead to overregulation and reduced transparency, making AI less safe and beneficial in the long run.
Mitchell explains that true intelligence, including human intelligence, involves social awareness and understanding the broader impact of actions—capabilities current AI doesn’t have. According to Mitchell, the idea of a superintelligent AI pursuing harmful goals is unrealistic; AI's capabilities, she says, are still very far from this scenario.
Mitchell also introduces "Moravec's Paradox," where tasks that are straightforward for humans, like social interactions, are surprisingly difficult for AI, while complex tasks, like chess, are easier for machines. Despite fears, she emphasizes the immense potential of AI to further develop medical, scientific, and academic innovations. This development, she explains, cannot happen if fear forces overregulation and tight restrictions on its use.
