Cybertrust: From Explainable to Actionable and Interpretable AI (AI2)
📖 Description
This is a preprint version of the paper by Igor Linkov, Stephanie Galaitsi, Benjamin D. Trump, Jeffrey M. Keisler, and Alexander Kott, "Cybertrust: From Explainable to Actionable and Interpretable Artificial Intelligence," IEEE Computer, Sept. 2020, pp. 91 -96, vol. 53 DOI Bookmark: 10.1109/MC.2 020.2993623 ??????????? Cybertrust: From Explainable to Actionable and Interpretable AI (AI2) Alexander Kott1, Stephanie Galaitsi2, Benjamin D. Trump2, Jeffrey M. Keisler3, Igor Linkov2 1 US Army Futures Command, Adelphi, MD 2 US Army Engineer Research and Development Center, Concord, MA 3 University of Massachusetts, Boston, MA Abstract To benefit from AI advances, users and operators of AI systems must have reason to trust it. Trust arises from multip le interactions, where predictable and desirable behavior is reinforced over time. Providing the system?s users with some understanding of AI operations can support predictability, but forcing AI to explain itself ris...
📊 Game Impacts
Not verified in gameWhich variables this event was proposed to move, and in which direction. The magnitudes are held in the corpus but are not shown here, because they have not been verified against the shipped game. They come from pdoom-data. They describe what an event was proposed to do, not what the shipped game does with it. Most events in the corpus are flavour: they are shown for colour and do not move any game variable. Only a small minority reach the systems below, and several of the variables listed here are not read by the game at all yet. Treat this table as a design proposal under review, not as a measurement of play. Corrections and arguments are welcome — the suggestion links at the foot of this page go straight to the data repo.
| Variable | Direction | Condition |
|---|---|---|
| Research | proposed: up | Always |
| Papers | proposed: up | Always |
| Vibey Doom | proposed: up | Always |
💭 Reactions
"Important contribution to the field"
"Academic research release"
🔗 Sources
🤝 Found an Issue?
This event data is sourced from the pdoom-data repository. If you notice errors or want to suggest improvements:
GitHub Issue (Preferred) 📧 Email (No GitHub)