Association for the Advancement of Artificial Intelligence has commissioned a study to look at this issue. They point to programs like the Language Acquisition Device which can emulate human interaction. Integration of Artificial General Intelligences with society Preliminary work has been conducted on methods of integrating artificial general intelligences (full ethical agents as defined above) with existing legal and social frameworks. Approaches have focused on consideration of their legal position and rights. Machine learning bias Big data and machine learning algorithms have become popular among numerous industries including online advertising, credit ratings, and criminal sentencing, with the promise of providing more objective, data-driven results, but have been identified as a potential source for perpetuating social inequalities and discrimination. A 2015 study found that women were less likely to be shown high-income job ads by Google's AdSense. Another study found that Amazon’s same-day delivery service was intentionally made unavailable in black neighborhoods. Both Google and Amazon were unable to isolate these outcomes to a single issue, but instead explained that the outcomes were the result of the black box algorithms they used. The United States judicial system has begun using quantitative risk assessment software when making decisions related to releasing people on bail and sentencing in an effort to be more fair and to reduce an already high imprisonment rate. These tools analyze a defendant's criminal history among other attributes. In a study of 7,000 people arrested in Broward County, Florida, only 20% of the individuals predicted to commit a crime using the county's risk assessment scoring system proceeded to commit a crime. A 2016 ProPublica report analyzed recidivism risk scores calculated by one of the most commonly used tools, the Northpointe COMPAS system, and looked at outcomes over two years. The report found that only 61% of those deemed high risk wound up committing additional crimes during that period. The report also flagged that African-American defendants were far more likely to be given high-risk scores relative to their white defendant counterparts. Legally, such pretrial risk assessments have been argued to violate Equal Protection rights on the basis of race, due to a number of factors including possible discriminatory intent from the algorithm itself under a theory of partial legal capacity for artificial intelligences. In 2016, the Obama Administration's Big Data Working Group—an overseer of various big-data regulatory frameworks—released reports arguing “the potential of encoding discrimination in automated decisions” and calling