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Spill the tea - we want to hear from you!
Generative AI is transforming technology and reshaping our world by creating human-like content at unprecedented scale and speed.
• EU ranks second globally in Gen AI academic publications but faces funding gaps for innovation
• Technical foundations include deep learning architectures, specialized processors, and massive datasets
• Gen AI systems face unique cybersecurity vulnerabilities like data poisoning and prompt injection
• Emerging trends include agentic AI making autonomous decisions and multimodal AI processing diverse data types
• Teachers are more exposed to AI-automatable tasks than 90% of workers across occupations
• Gen AI enables creation of convincing false content, threatening information integrity
• Digital commons face existential threats from AI crawlers and potential information pollution
• Data centers powering AI projected to consume growing portions of electricity by 2027
• Children need specific safeguards against manipulation and inappropriate AI-generated content
• Bias in training data perpetuates societal prejudices in AI outputs
• Privacy concerns include AI's ability to infer sensitive information from seemingly innocuous data
• Copyright challenges involve determining appropriate limitations for AI training
For more information on generative AI and its impacts, check out the comprehensive outlook report from the European Commission's Joint Research Center.
72 episodes
Spill the tea - we want to hear from you!
Generative AI is transforming technology and reshaping our world by creating human-like content at unprecedented scale and speed.
• EU ranks second globally in Gen AI academic publications but faces funding gaps for innovation
• Technical foundations include deep learning architectures, specialized processors, and massive datasets
• Gen AI systems face unique cybersecurity vulnerabilities like data poisoning and prompt injection
• Emerging trends include agentic AI making autonomous decisions and multimodal AI processing diverse data types
• Teachers are more exposed to AI-automatable tasks than 90% of workers across occupations
• Gen AI enables creation of convincing false content, threatening information integrity
• Digital commons face existential threats from AI crawlers and potential information pollution
• Data centers powering AI projected to consume growing portions of electricity by 2027
• Children need specific safeguards against manipulation and inappropriate AI-generated content
• Bias in training data perpetuates societal prejudices in AI outputs
• Privacy concerns include AI's ability to infer sensitive information from seemingly innocuous data
• Copyright challenges involve determining appropriate limitations for AI training
For more information on generative AI and its impacts, check out the comprehensive outlook report from the European Commission's Joint Research Center.
72 episodes
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