Creating AI Systems That Take Culture into Account
If we want our AI systems to reflect our standards and values, how can we create AI systems that take culture into account?
If we want our AI systems to reflect our standards and values, how can we create AI systems that take culture into account?
The trend toward more prevalent and less transparent automation in agency decision-making is deeply concerning.
麻豆果冻传媒 welcomes the Class of 2019 India-United States Public Interest Technology Fellows.
Through the establishment of a grant program that supports job-accelerator programs, rural America may become the next hub for innovation.
The most important thing about designing a network is to be intentional about that design.
Enacting algorithmic and data transparency will require a significant shift in culture on the part of relevant agencies.
We need to be aware of the assumptions, biases, and background considerations that invisibly power our technologies.
Algorithms used by the Federal Housing Authority to grant or deny federally insured mortgages relied on significantly biased variables.