TakeTwo
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TakeTwo solution provides a quick and simple tool for media creators and media consumers to be more vigilant to detect and eliminate racial bias (both overt and subtle) in their content
### Background on the problem the feature will solve/improved user experience In order for TakeTwo to be widely adopted, there has to be increased trust and oversight around the data....
### Background on the problem the feature will solve/improved user experience If users had proof of concepts (POCs) of deployment in different cloud environments, it could help promote adoption of...
Currently, TakeTwo does not take into account of where the media content is coming from ie. whether it is from United States or if it is from India. As some...
### Background on the problem the feature will solve/improved user experience Due to the nature of TakeTwo's data, we need a suitable host to be the custodian of this data....
### Background on the problem the feature will solve/improved user experience There's currently no easy way for someone to find out more about the data trustworthiness of TakeTwo's data, or...
### Background on the problem the feature will solve/improved user experience We need to ensure we can trust the data we are curating, ### Describe the solution you'd like Create...
### Background on the problem the feature will solve/improved user experience People who use TakeTwo might not only want to detect racially biased content but receive help on how to...
### Background on the problem the feature will solve/improved user experience The TakeTwo web application currently supports only text. However, there is a lot of content in video that could...
### Background on the problem the feature will solve/improved user experience Since beginning the project, we've come across many similar efforts around mitigating racially biased language and toxic language identification....
### Background on the problem the feature will solve/improved user experience Problems involving satire, hyperbole, irony, sarcasm, and mocking may need some kind of a boolean "possibly insincere" flag, too...