human control of AI should be mandatory and testable by regulators.

Human control of AI should be mandatory and testable by regulators.

Employers should be required to test AI in the workplace on a regular basis to ensure that the system is built for purpose and is not harmfully influenced by bias of any kind — gender, race, sexual orientation, age, religion, income, family status and so on.

Workplace AI should be tested to ensure that it does not discriminate against vulnerable individuals or communities.

AI should be designed within explicit operational requirements and undergo exhaustive testing to ensure that it responds safely to unanticipated situations and does not evolve in unexpected ways.

AI should be designed within explicit operational requirements and undergo exhaustive testing to ensure that it responds safely to unanticipated situations and does not evolve in unexpected ways.

human control is essential.

While in some circumstances open source code will be helpful, what is more important are clear, complete and testable explanations of what the system is doing and why.

One possibility is to require algorithmic verifiability rather than full algorithmic disclosure.

Algorithmic verifiability would require companies to disclose not the actual code driving the algorithm but information allowing the effect of their algorithms to be independently assessed.

In the absence of transparency regarding their algorithms’ purpose and actual effect, it is impossible to ensure that competition, labour, workplace safety, privacy and liability laws are being upheld.

The development of AI must be responsible, safe and useful.