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EU Parliament 2025: The Future of AI: Balancing Innovation with Responsibility

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Manage episode 489006814 series 2808139
Content provided by The Incongruables. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Incongruables or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

Chapters

1. Introduction to Generative AI (00:00:00)

2. Technical Foundations of Gen AI (00:01:41)

3. EU's Position in Global AI Landscape (00:02:58)

4. Evaluating and Securing AI Systems (00:04:21)

5. Emerging AI Technologies (00:09:16)

6. Economic Impact and Job Transformation (00:11:54)

7. Societal Challenges: Misinformation and Media (00:17:39)

8. Environmental Impact and Digital Commons (00:22:10)

9. Protecting Vulnerable Groups (00:27:56)

10. Privacy, Copyright, and Regulation (00:32:49)

11. Conclusion and Future Considerations (00:35:57)

72 episodes

Artwork
iconShare
 
Manage episode 489006814 series 2808139
Content provided by The Incongruables. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Incongruables or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

Chapters

1. Introduction to Generative AI (00:00:00)

2. Technical Foundations of Gen AI (00:01:41)

3. EU's Position in Global AI Landscape (00:02:58)

4. Evaluating and Securing AI Systems (00:04:21)

5. Emerging AI Technologies (00:09:16)

6. Economic Impact and Job Transformation (00:11:54)

7. Societal Challenges: Misinformation and Media (00:17:39)

8. Environmental Impact and Digital Commons (00:22:10)

9. Protecting Vulnerable Groups (00:27:56)

10. Privacy, Copyright, and Regulation (00:32:49)

11. Conclusion and Future Considerations (00:35:57)

72 episodes

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