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Emerging Processes for Frontier AI Safety

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Innhold levert av BlueDot Impact. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av BlueDot Impact eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

The UK recognises the enormous opportunities that AI can unlock across our economy and our society. However, without appropriate guardrails, such technologies can pose significant risks. The AI Safety Summit will focus on how best to manage the risks from frontier AI such as misuse, loss of control and societal harms. Frontier AI organisations play an important role in addressing these risks and promoting the safety of the development and deployment of frontier AI.

The UK has therefore encouraged frontier AI organisations to publish details on their frontier AI safety policies ahead of the AI Safety Summit hosted by the UK on 1 to 2 November 2023. This will provide transparency regarding how they are putting into practice voluntary AI safety commitments and enable the sharing of safety practices within the AI ecosystem. Transparency of AI systems can increase public trust, which can be a significant driver of AI adoption.

This document complements these publications by providing a potential list of frontier AI organisations’ safety policies.
Source:
https://www.gov.uk/government/publications/emerging-processes-for-frontier-ai-safety/emerging-processes-for-frontier-ai-safety
Narrated for AI Safety Fundamentals by Perrin Walker
A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.

  continue reading

Kapitler

1. Emerging Processes for Frontier AI Safety (00:00:00)

2. Executive summary (00:00:20)

3. Responsible capability scaling (00:03:07)

4. Model evaluations and red teaming (00:05:12)

5. Model reporting and information sharing (00:06:53)

6. Security controls including securing model weights (00:08:44)

7. Reporting structure for vulnerabilities (00:11:40)

8. Identifiers of AI-generated material (00:12:42)

9. Prioritising research on risks posed by AI (00:14:09)

10. Preventing and monitoring model misuse (00:15:17)

11. Data input controls and audits (00:16:43)

85 episoder

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Manage episode 424744793 series 3498845
Innhold levert av BlueDot Impact. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av BlueDot Impact eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

The UK recognises the enormous opportunities that AI can unlock across our economy and our society. However, without appropriate guardrails, such technologies can pose significant risks. The AI Safety Summit will focus on how best to manage the risks from frontier AI such as misuse, loss of control and societal harms. Frontier AI organisations play an important role in addressing these risks and promoting the safety of the development and deployment of frontier AI.

The UK has therefore encouraged frontier AI organisations to publish details on their frontier AI safety policies ahead of the AI Safety Summit hosted by the UK on 1 to 2 November 2023. This will provide transparency regarding how they are putting into practice voluntary AI safety commitments and enable the sharing of safety practices within the AI ecosystem. Transparency of AI systems can increase public trust, which can be a significant driver of AI adoption.

This document complements these publications by providing a potential list of frontier AI organisations’ safety policies.
Source:
https://www.gov.uk/government/publications/emerging-processes-for-frontier-ai-safety/emerging-processes-for-frontier-ai-safety
Narrated for AI Safety Fundamentals by Perrin Walker
A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.

  continue reading

Kapitler

1. Emerging Processes for Frontier AI Safety (00:00:00)

2. Executive summary (00:00:20)

3. Responsible capability scaling (00:03:07)

4. Model evaluations and red teaming (00:05:12)

5. Model reporting and information sharing (00:06:53)

6. Security controls including securing model weights (00:08:44)

7. Reporting structure for vulnerabilities (00:11:40)

8. Identifiers of AI-generated material (00:12:42)

9. Prioritising research on risks posed by AI (00:14:09)

10. Preventing and monitoring model misuse (00:15:17)

11. Data input controls and audits (00:16:43)

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