| Item | Value |
|---|---|
| Facebook username | vkrakovna |
| Intelligent Agent Foundations Forum username | 70 |
| Website | https://vkrakovna.wordpress.com/ |
| Donations List Website (data still preliminary) | donor |
| Organization | Title | Start date | End date | Employment type | Source | Notes |
|---|---|---|---|---|---|---|
| Google DeepMind | Research Scientist | [1], [2], [3] | ||||
| Future of Life Institute | Co-Founder | 2014-03-01 | board member | [4], [5] | ||
| Machine Intelligence Research Institute | Advisor | 2018-11-26 | [6], [7] |
| Name | Creation date | Description |
|---|---|---|
| AI Safety Discussion | 2016-02-21 | A Facebook discussion group about AI safety. This is a closed group so one needs to request access to see posts. |
| Introductory resources on AI safety research | 2016-02-28 | A list of readings on long-term AI safety. Mirrored at [8]. There is an updated list at [9]. |
| AI safety resources | 2017-10-01 | A list of resources for long-term AI safety. Seems to have been first announced at [10]. |
| Title | Publication date | Author | Publisher | Affected organizations | Affected people | Document scope | Cause area | Notes |
|---|
| Title | Publication date | Author | Publisher | Affected organizations | Affected people | Affected agendas | Notes |
|---|---|---|---|---|---|---|---|
| New safety research agenda: scalable agent alignment via reward modeling | 2018-11-20 | Victoria Krakovna | LessWrong | Google DeepMind | Jan Leike | Recursive reward modeling, iterated amplification | Blog post on LessWrong announcing the recursive reward modeling agenda. Some comments in the discussion thread clarify various aspects of the agenda, including its relation to Paul Christiano’s iterated amplification agenda, whether the DeepMind safety team is thinking about the problem of whether the human user is a safe agent, and more details about alternating quantifiers in the analogy to complexity theory. Jan Leike is listed as an affected person for this document because he is the lead author and is mentioned in the blog post, and also because he responds to several questions raised in the comments. |
Showing at most 20 people who are most similar in terms of which organizations they have worked at.