A Decentralized Approach towards Responsible AI in Social Ecosystems
π Description
A Decentralized Approach towards Responsible AI in Social Ecosystems Wenjing Chu Futurewei Technologies, Inc. [email address redacted] Abstract For AI technology to fulfill its full promises, we must have effective means to ensure Responsible AI behavior and cur-tail potential irresponsible use, e.g., in areas of privacy pro-tection, human autonomy, robustness, and prevention of bi-ases and discrimination in automated decision making. Re-cent literature in the field has identified serious shortcomings of narrow technology focused and formalism-oriented re-search and has proposed an interdisciplinary approach that brings the social context into the scope of study. In this paper, we take a sociotechnical approach to propose a more expansive framework of thinking about the Responsi-ble AI challenges in both technical and social context. Effec-tive solutions need to bridge the gap between a technical sys-tem with the social system that it will be deployed to. To this end, we propose comp...
π 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 |
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