US lawmakers propose bill to fight bias in tech companies' algorithms

By on
US lawmakers propose bill to fight bias in tech companies' algorithms

Businesses with data on over a million customers targeted.

US lawmakers proposed a bill on Wednesday that would require major tech companies to detect and remove any discriminatory biases embedded in their computer models, underscoring Washington's growing interest in regulating Silicon Valley. The bill, entitled the Algorithmic Accountability Act of ...

Hi! You've reached one of our premium articles. This is available exclusively to subscribers.

It's free to register, and only takes a few minutes.

Once you sign up you'll have unlimited access to the full catalogue of Australia's best business IT content, as well as a daily news bulletin delivered straight to your inbox.

Register now
Got a news tip for our journalists? Share it with us anonymously here.
Tags:
ai algorithm bias amazon facebook federal trade commission google software

Sponsored Whitepapers

Building a ransomware remediation backup strategy
Building a ransomware remediation backup strategy
Forrester's Asia Pacific Predictions 2021 Guide
Forrester's Asia Pacific Predictions 2021 Guide
Adopting a Next-Generation Data Security Approach
Adopting a Next-Generation Data Security Approach
How to be a SOAR winner
How to be a SOAR winner
3 steps to a well-rounded cybersecurity plan
3 steps to a well-rounded cybersecurity plan

Events

Most Read Articles

COVIDSafe data 'incidentally' collected by intelligence agencies in first six months

COVIDSafe data 'incidentally' collected by intelligence agencies in first six months
Long list of vulnerable Fortinet SSL VPNs published

Long list of vulnerable Fortinet SSL VPNs published
Australia's head of cyber warfare exits

Australia's head of cyber warfare exits
Telstra, ANZ, NAB redefine their future workspaces

Telstra, ANZ, NAB redefine their future workspaces
You must be a registered member of iTnews to post a comment.
| Register

Log In

Username / Email:
Password:
  |  Forgot your password?