Top 100 AI · United States
Peter Slattery
MIT ![]()
- Score
- 5,4360 today
- Rank
- 142/198 ↓35
- over 90 days
- −460−7.4%
Peter Slattery is a research scientist affiliated with MIT AI Risk Initiative and MIT FutureTech, focusing on the safe development and deployment of artificial intelligence. His work involves analyzing AI risks, governance, and societal impacts, often collaborating with institutions and researchers globally. He shares insights through reports, academic papers, and public discussions, emphasizing AI safety and policy frameworks.
Data as of Oct 27, 2026.
The raw numbers · last 90 days
- Median views
- 7K
- per post
- Median engagements
- 76
- per post
- Posts
- 91
- over 90 days
- Followers
- 72.6K
- all scored platforms
What drives the score
Percentiles 0–100 against all tracked creators.
- Reach · 30%60
Average views per post over 90 days
- Engagement · 30%35
Average reactions per post
- Audience · 30%64
Total followers, relative to population
- Consistency · 10%100
Posting frequency (25 posts / 90 days = 100)
Platforms
72.6K total followers
| Platform | Followers | Score |
|---|---|---|
| LinkedIn@peterslattery1 | 72.6K | 8,011t2 |
Last 30 days
Slattery's top posts
LinkedIn · 13 days ago#1PSPeter Slattery
Come work with me! We’re hiring a early-career researcher to join the MIT AI Risk Initiative at MIT FutureTech. You'll help us answer important practical questions: What are the most significant risks from AI? Which m…
24.2K views259 engagements
LinkedIn · 20 days ago#2PSPeter Slattery
📢 New report: AI incident databases are increasingly used to understand and manage AI risks. But how well do they meet users' needs, and how could they be improved? 🔍 What we did • Consulted 45 practitioners across …
21.4K views239 engagements
LinkedIn · 9 days ago#3PSPeter Slattery
"This paper provides an applied taxonomy for understanding agentic AI behavioural failure modes. It also outlines practical principles for applied behavioural assurance: the capacity to understand, monitor and govern …
12.7K views139 engagements
LinkedIn · 23 days ago#4PSPeter Slattery
Open-source AI is getting increasingly dangerous: "Five months ago, we announced Claude Mythos Preview, the first AI model that could autonomously build sophisticated, end-to-end cyber exploits. The rapid rate of impr…
9.4K views102 engagements
LinkedIn · 3 days ago#5PSPeter Slattery
"In this report, we examine the insurability of AI using a literature review, expert interviews, and analysis of public data on AI incidents, lawsuits, enacted state laws, and admitted-market insurance filings. We fin…
8.6K views91 engagements
LinkedIn · 22 days ago#6PSPeter Slattery
In just a year, AI has gone from winning gold at the IMO to claiming a million-dollar Millennium Problem. But the remarkable headlines carry a selection bias: we hear about the problems models crack, not the ones they…
8.5K views90 engagements
Head-to-head