Drishtant Ghosh (Drix10)
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AI Policy and Ethical Considerations••8 min read•1513 words

🚨 Warning: AI Safety Risks and Regulatory Action

⚡Direct Technical Summary

AI safety risks are real, and regulatory action is necessary to prevent disasters. Massachusetts has an opportunity to lead with strong protections, and we should take it. We need

🚨 Warning: AI Safety Risks and Regulatory Action

AI safety risks are real, and regulatory action is necessary to prevent disasters. Massachusetts has an opportunity to lead with strong protections, and we should take it. We need Washington to do the same.

Key Points:

  • AI Safety Risks: AI is moving fast, and we need to move faster to keep people safe. The risk of AI disasters is real, and we need to take action to prevent them.

  • Regulatory Action: Massachusetts has an opportunity to lead with strong protections, and we should take it. We need Washington to do the same.

  • Actionable Takeaway: We need to strengthen protections and enforcement to prevent AI disasters. This requires a coordinated effort from governments, industry leaders, and civil society.

🔗 Resources:

🚨 The News Industry is Dying

The news industry is dying, and we're all worse off for it. The Miami Herald's collapse is just one example of the many stories across the country, on every news beat. We need to take action to support the news industry and preserve the integrity of our democracy.

Key Points:

  • The News Industry is Dying: The news industry is facing a crisis, with many outlets closing or downsizing. This has serious implications for our democracy and our ability to access accurate information.

  • The Impact on Democracy: The loss of the news industry has serious implications for our democracy. We need to take action to support the news industry and preserve the integrity of our democracy.

  • Actionable Takeaway: We need to support the news industry and preserve the integrity of our democracy. This requires a coordinated effort from governments, industry leaders, and civil society.

🔗 Resources:

🚨 AI is Moving Fast

AI is moving fast, and we need to move faster to keep people safe. Massachusetts has an opportunity to lead with strong protections, and we should take it. We need Washington to do the same.

Key Points:

  • AI Safety Risks: AI is moving fast, and we need to move faster to keep people safe. The risk of AI disasters is real, and we need to take action to prevent them.

  • Regulatory Action: Massachusetts has an opportunity to lead with strong protections, and we should take it. We need Washington to do the same.

  • Actionable Takeaway: We need to strengthen protections and enforcement to prevent AI disasters. This requires a coordinated effort from governments, industry leaders, and civil society.

🔗 Resources:

🚨 Notion and Granola Connectors Now Live

Notion and granola connectors are now live! They are super easy to use from the Mac app. This is a great development for users who want to integrate Notion with other tools.

Key Points:

  • Notion and Granola Connectors: Notion and granola connectors are now live, and they are super easy to use from the Mac app.

  • Integration with Other Tools: This is a great development for users who want to integrate Notion with other tools.

  • Actionable Takeaway: Users can now easily integrate Notion with other tools using the new connectors.

🔗 Resources:

🚨 Obama on AI Safety

Obama speaking at Colgate on AI safety: "I'm encouraged that this issue has finally popped" over last week. "I've been tracking this issue for a long time. I do not believe this is overhyped."

Key Points:

  • Obama on AI Safety: Obama speaking at Colgate on AI safety, emphasizing the importance of addressing the issue.

  • AI Safety Risks: The risk of AI disasters is real, and we need to take action to prevent them.

  • Actionable Takeaway: We need to strengthen protections and enforcement to prevent AI disasters. This requires a coordinated effort from governments, industry leaders, and civil society.

🔗 Resources:

🚨 Companies Often Lie About Data Collection

Companies often lie about why they collect certain data from you. I made up a fake person to prove the point. Don't hand over your information by default, think carefully before giving it over.

Key Points:

  • Companies Often Lie About Data Collection: Companies often lie about why they collect certain data from you.

  • Data Protection: We need to be careful about the data we share with companies, and we need to think carefully before giving it over.

  • Actionable Takeaway: Don't hand over your information by default, think carefully before giving it over.

🔗 Resources:

🚨 GitHub Copilot Self-Guided Workshop

Taking your first steps with GitHub Copilot? @cinnamon_msft & I put together a self-guided workshop showing you how to build from a local folder, plan new features, push to git, create & manage issues, merge, and more from the App, CLI, & @code .

Key Points:

  • GitHub Copilot Self-Guided Workshop: GitHub Copilot has a self-guided workshop to help users get started.

  • Building with GitHub Copilot: The workshop covers building from a local folder, planning new features, pushing to git, creating and managing issues, and merging.

  • Actionable Takeaway: Users can follow the self-guided workshop to learn how to use GitHub Copilot.

🔗 Resources:

🚨 A New York Times Correspondent's Dispatch

A New York Times correspondent filed his dispatch from the Battle of Gettysburg, then searched the hellscape for a particular Union soldier said to have had his leg blown off. His teenage son. My story, part of the 175th anniversary of The New York Times.

Key Points:

  • A New York Times Correspondent's Dispatch: A New York Times correspondent filed his dispatch from the Battle of Gettysburg.

  • The Story of a Union Soldier: The correspondent searched for a particular Union soldier said to have had his leg blown off, and found his teenage son.

  • Actionable Takeaway: The story is part of the 175th anniversary of The New York Times.

🔗 Resources:

🚨 Strengthen Protections and Enforcement

I like @ChopraUSA 's phrasing here of "strengthen protections and enforcement to prevent dangerous AI disasters" as a more accurate description of the risk and steps we need to take in addition to existing enforcing laws.

Key Points:

  • Strengthen Protections and Enforcement: We need to strengthen protections and enforcement to prevent AI disasters.

  • AI Safety Risks: The risk of AI disasters is real, and we need to take action to prevent them.

  • Actionable Takeaway: We need to strengthen protections and enforcement to prevent AI disasters. This requires a coordinated effort from governments, industry leaders, and civil society.

🔗 Resources:

🚨 False AI-Generated Intelligence Report

This is how we all lose the AI race. A false AI-generated intelligence report said a Chinese ship was transporting nuclear weapons parts in the Middle East. The US military was preparing to board the ship before realizing it was wrong. Dangerously close.

Key Points:

  • False AI-Generated Intelligence Report: A false AI-generated intelligence report said a Chinese ship was transporting nuclear weapons parts in the Middle East.

  • AI Safety Risks: The risk of AI disasters is real, and we need to take action to prevent them.

  • Actionable Takeaway: We need to strengthen protections and enforcement to prevent AI disasters. This requires a coordinated effort from governments, industry leaders, and civil society.

🔗 Resources:

🚨 Interview on Trust and Safety Operations

I was interviewed a while back for this paper on trust and safety operations, now out in Social Media + Society. Quoted anonymously. I’m always happy to chat with students and researchers who are interested in this field.

Key Points:

  • Interview on Trust and Safety Operations: I was interviewed for a paper on trust and safety operations.

  • Trust and Safety Operations: The paper is now out in Social Media + Society.

  • Actionable Takeaway: I’m always happy to chat with students and researchers who are interested in this field.

🔗 Resources:

📂Source / Implementation:AI Policy and Ethical Considerations / resources-249.md
GitHub Repository↗

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Drishtant Ghosh (Drix10)
Drishtant Ghosh (Drix10)•Author & Engineer

Technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

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