[N] The Moral Uncertainty competition: $100,000 in prizes for training ML models to identify ethically ambiguous scenarios.

Website: [https://moraluncertainty.mlsafety.org/](https://moraluncertainty.mlsafety.org/)

ML Systems often make real-world decisions that involve ethical considerations ([modulating social ](https://www.theverge.com/2020/6/18/21296044/tiktok-for-you-page-algorithm-sides-engagement-data-creators-trends-sounds)[media feeds](https://www.theverge.com/2021/10/22/22740703/twitter-algorithm-right-wing-amplification-study), [conversational](https://www.ibm.com/products/watson-assistant) [AI](https://www.developer.amazon.com/en-US/alexa/) [agents](https://powervirtualagents.microsoft.com/en-us/) [or](https://cloud.google.com/dialogflow) [chatbots](https://www.facebook.com/business/help/321167622310680?id=648321075955172), etc). As ML systems automate more aspects of our lives, they should be able to identify moral ambiguity so that they are more likely to proceed cautiously or indicate an operator should intervene.

competition identify machinelearning ml models training uncertainty