Everyday AI Podcast – An AI and ChatGPT Podcast
EP 148: Safer AI - Why we all need ethical AI tools we can trust
The episode discusses the importance of trustworthy AI, the drama at OpenAI, the need for regulations and guardrails in AI development, and the challenges of ensuring trustworthiness in open source language models and generative AI tools.
Public pressure can drive innovation while ensuring public interest
Historical examples like car safety demonstrate that public pressure can lead to increased investment in safety measures without hindering innovation.
Transparency is crucial for regulating government involvement in AI
To ensure accountability and hold regulators accountable, transparency is essential in regulating government involvement in AI.
Mozilla AI aims to build trustworthy and open-source AI
Mozilla AI focuses on providing open building blocks for AI development to counterbalance potential corporate control and ensure trustworthiness.
Concerns about trustworthiness and safety in using open source language models
While open source language models provide opportunities for individuals and businesses, there are concerns about potential mistakes and misuse without expert knowledge.
Generative AI raises questions about control and interests
As generative AI becomes more integrated into devices and operating systems, questions arise about who has control and whose interests are prioritized.
Individual control of AI tools can lead to a better future
On-device personal AI controlled by individuals can prioritize individual benefits, while cloud services run by companies may not.
Be critical and verify the authenticity of AI-generated content
Misinformation driven by AI can have significant impacts, so it is important to critically evaluate and verify the authenticity of AI-generated content before sharing.
Ensure safety in using generative AI tools
To ensure safety, consider whose interests generative AI tools serve and maintain control over data by choosing providers that offer open source options.
- Trustworthy AI and OpenAI Drama
- Balancing Interests and Regulating AI
- Public Pressure and Guardrails for AI
- Ensuring Trustworthiness of Open Source Language Models
- Control and Safety in Generative AI Tools
Trustworthy AI and OpenAI Drama
00:01 - 06:52
- The podcast discusses the importance of trustworthy AI and introduces a guest from Mozilla.
- There has been drama at OpenAI, with the founder and CEO being fired and then potentially rehired.
- Microsoft CEO Satya Nadella is reportedly involved in the discussions at OpenAI.
- Former Twitch CEO Emmett Shear has been announced as the interim CEO at OpenAI.
- Sam Altman and Greg Brockman will be joining Microsoft to lead a new Advanced AI Research team.
- Facebook disbanded its responsible AI team, which is significant news.
- Germany, France, and Italy reached an agreement on future AI regulation.
- The guest from Mozilla explains that Mozilla was started as an open-source project to counterbalance corporate power in the web world dominated by Microsoft.
- Mozilla aims to build open-source AI that is trustworthy and in the public interest as a counterbalance to potential corporate control of AI technology.
Balancing Interests and Regulating AI
06:31 - 13:44
- OpenAI, originally a nonprofit, has undergone changes with Microsoft's involvement and the creation of a new research team at Microsoft.
- The conversation surrounding AI revolves around balancing the interests of humanity and dominant companies in the field.
- The speed at which AI is advancing raises concerns about safety and the impact on everyday people.
- Risks include misinformation driven by AI, which can affect democracies and elections.
- Finding the right balance between regulating AI and using generative AI systems is challenging but necessary.
- Governments need to establish accountability and create guardrails for AI development.
- Technology should be used to test and regulate AI systems, but there must be sufficient investment, expertise, incentive, and accountability from both government bodies and big companies.
- Historical examples like car safety demonstrate that public pressure can drive innovation while ensuring public interest.
Public Pressure and Guardrails for AI
13:19 - 20:07
- In the 60s and 70s, public pressure led to increased investment in car safety, which did not hinder innovation but rather accelerated it.
- The disbanding of Facebook's internal responsible AI team may set a trend for other companies to prioritize speed over ethical considerations.
- Friction between those who want to set up guardrails for AI and those who see it as an obstacle to innovation is a concern.
- Governments and the public are calling for regulations and guardrails on AI development.
- Transparency is crucial for regulating government involvement in AI, as well as holding regulators accountable.
- Mozilla AI aims to build trustworthy and open-source AI by providing open building blocks that allow for innovation while ensuring safety.
- Mozilla AI focuses on making open source language models safe and usable through training, fine-tuning, and evaluation.
Ensuring Trustworthiness of Open Source Language Models
19:44 - 26:29
- Mozilla AI is working on helping people use open source large language models to train them on their own data and ensure they are accurate and safe.
- It is now easier than ever for individuals, entrepreneurs, and small business owners to leverage AI tools like open source large language models.
- However, there are concerns about trustworthiness and safety when anyone can use these tools without being an expert, leading to potential mistakes in data and model creation.
- Mozilla AI is focused on building a safety and usability layer on top of open source large language models to ensure they are trustworthy and safe for various applications.
- There is a paper called "Creating Trustworthy AI" by Mozilla that provides insights into best practices for safer AI. A new version or progress report will be released in January.
- Mozilla AI has been hiring engineers, setting up infrastructure, running experiments, and more developments can be expected in the future.
- Concerns about unsafe or unethical AI tools include misinformation at the societal level and the need for critical evaluation of content authenticity at the individual level.
Control and Safety in Generative AI Tools
26:00 - 32:28
- Misinformation has had a significant impact on various aspects of society, including health and democracies.
- It is important to be critical and verify the authenticity of the content before sharing it, especially when it comes to AI-generated media material.
- When using generative AI tools, consider the data being used and be conscious if it belongs to someone else or your own community.
- Open source language models provide more control over where the data goes and how it is used in AI systems.
- Generative AI is becoming more integrated into devices and operating systems, raising questions about control and interests.
- On-device personal AI that is controlled by individuals can lead to a better future, while cloud services run by companies may not prioritize individual benefits.
- The trend is moving towards less control for individuals in the AI era.
- To ensure safety in using generative AI tools, be critical about whose interest they serve and keep control of your data.
- Look for providers that offer open source options to maintain more control over infrastructure and data.