🔬

The 6-Ds of Creating AI-Enabled Systems

📅 2022
technical research breakthrough
🔵 Rare

📖 Description

The 6 -Ds of Creating AI-Enabled Systems Dr. John Piorkowski Johns Hopkins University Applied Physics Laboratory 11100 Johns Hopkins Rd. Laurel, Maryland 20723- 6099 [email address redacted] Abstract We are entering our tenth year of the current Artificial Intel- ligence (AI) spring, and, as with previous AI hype cycles, the threat of an AI winter looms. AI winters occurred because of ineffective approaches towards navigating the technology ?valley of death.? The 6 -D framework provides an end -to- end framework to successfully navigate this challenge. The 6-D framework starts with problem decompositio n to identify potential AI solutions, and ends with considerations for de-ployment of AI -enabled s ystems. Each component of the 6-D framework and a precision medicine use case is described in this paper. 1. Introduction In 2012, a team of researchers, led by Geoffrey Hinton, ad- vanced the field of computer vision using convolutional neural networks ...

📊 Game Impacts

Not verified in game

Which 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

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Advances our understanding of AI safety"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Peer-reviewed publication"
💡 Found a Real Quote? Suggest it here

🔗 Sources

🏷️ Event Metadata

Think this event's metadata could be improved? Category and tags describe the real-world event and are maintained in pdoom-data. Rarity, game impacts and p(doom) effects are game-mechanical values owned by pdoom1. Each link below goes to the repository that decides that field.

📁 Category Technical Research Breakthrough → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (0) → Suggest tag changes
📊 Game Impacts (3) 3 variable changes → Suggest impact changes
☢️ p(Doom) Impact No direct impact → Suggest p(doom) change
📝 General Metadata Year, description, reactions → Comprehensive review

🤝 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)
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