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The responsibility falls on the company or individual to explain the discrimination. Good reasons are under section 14 of Pepuda Act @Danielle_Louw_#CriminalJustice
"For AI, we have to check listed ground such as marriage, gender, race etc, but also check against all permutations of listed ground" @Danielle_Louw_#CriminalJustice
The four questions we need to ask: Who’s feeling the algorithms? what are we feeding them? how is the data selected and who is selecting the data? @CummingsRenee#CriminalJustice
How raw is your raw data? We got to look at where our data comes from. Police data is some of the dirtiest because it lacks transparency and accountability. @CummingsRenee#CriminalJustice
The crucial question of whether they help judges make better decisions are unanswered. The algorithms are developed with the best intentions but aren’t working that way @CummingsRenee#CriminalJustice
@CummingsRenee echoes the question by Ruha Benjamin "are we perpetuating deeply discriminating practices under the guise of reason, neutrality and social improvement?"
#CriminalJustice
We need to ask more questions before purchasing and using the tools. Algorithms are only good as the data they work with and many have inherited the wide spread biases in our society. We are automating inequality. @CummingsRenee
Arraignment by algorithms = everything in criminal justice is done by risk scores and is done with opaque algorithms and zombie predictions which over estimate risks @CummingsRenee
Join us to hear international speaker Renée Cummings on
*Inclusion and Diversity in AI: Criminal Justice* with Neil du Toit. 2 October. Get your tickets below. @CapeTownAI @ACCapeTown #AI#AIlaw#AIethics https://t.co/k54zBZESf7
There are signs for the precursor to #singularity but it’s impossible to say when it will happen comments #SebastianBodenstein and then adds that there at vast global resources committed to this at the moment #MachineLearning#AI
#SebastianBodenstein notes that humans have evolved over 500 millions years. It is not that each of us has learnt over a few months or years. We draw from evolutionary knowledge #MachineLearning#AI
For backprop, the feedforward weights must be the same as the feedback, so we would need a subnetwork. We know this can’t happen because of the weight transport problem, but that’s not all!