Marion Oswald

@Marion_InfoLaw

Info rights/privacy/tech in public sector V-C's Senior Fellow Associate Fellow Chair ethics ctee Views personal

Vrijeme pridruživanja: kolovoz 2011.

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  1. Prikvačeni tweet
    16. sij

    'The long arm of the algorithm? Automated Facial Recognition as evidence & trigger for police intervention' by & me. SW Police case doesn't give green light to other fact sensitive AFR uses: we consider two & role of legit decision-maker

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  2. proslijedio/la je Tweet

    Today we're calling for an overhaul of social media regulation: to ensure platforms are accountable for how content is targeted at users, to make the process more transparent, and give users more control. Read our recommendations here

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  3. proslijedio/la je Tweet

    Big day in the tracking and targeting news. research unveiled that local council websites embed tracking technologies, enabling data brokers and third party companies to track individuals' access to information about benefits and services. thread

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  4. 3. velj

    'Does it know when it is on shaky ground, and can it acknowledge uncertainty?' & 'Do people use it appropriately, with the right level of skepticism?' Crucial questions.

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  5. proslijedio/la je Tweet
    2. velj

    Radiologists don’t just look at images, says Hugh Harvey (a radiologist & tech consultant). AI supremacy is based on “a complete misunderstanding of what radiologists do...[which] is more like reading a novel & trying to write a summary of what it’s about”

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  6. proslijedio/la je Tweet
    31. sij

    Have you got a minute over the weekend (no I don't either) to fill in a v.short survey to help get data on police retention and storage of evidence in criminal cases? if so we would LOVE to hear from you! RTs always appreciated too!!

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  7. proslijedio/la je Tweet
    30. sij
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  8. proslijedio/la je Tweet
    30. sij
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  9. proslijedio/la je Tweet

    My latest article for explores uses of in the sector, particularly profiling and analysis. AI could revolutionise DNA evidence – but right now we can't trust the machines via

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  10. proslijedio/la je Tweet

    (1/11) The CDEI monitors the risks & opportunities from data & AI, which includes uses of facial recognition technology (FRT) by the police. Here's a thread to help understand the facts about the Metropolitan Police Service (MPS) decision to deploy FRT:

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  11. proslijedio/la je Tweet
    29. sij

    I feel privileged to be witness to development of ’s independent committee scrutinising work of ; robustly influenced by legal specialists for this very reason. But with an increase in ethics washing & bashing, more need to follow suit nationally.

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  12. proslijedio/la je Tweet

    Delighted to say that my new paper on the Regulation of AI and ML co-written with the wonderful Julia Black has now been published - . Thanks and . Cc

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  13. proslijedio/la je Tweet
    28. sij

    Reasonable expectation of privacy > Filming partner without their consent during sex ruled a criminal offence

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  14. proslijedio/la je Tweet
    28. sij

    Chelsea Barabas and colleagues invite us to "Study Up", specially in "social good" research. E.g., instead of predicting whether a defendant will skip bail, why not predict if a judge would impose an unreasonable bail? – mjesto: Hotel Barceló Sants

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  15. proslijedio/la je Tweet
    28. sij

    The UK government will allow to continue to be in its networks, but there will be restrictions. Read the RUSI Commentary by .

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  16. proslijedio/la je Tweet
    28. sij
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  17. 28. sij

    . on impact on trust of wrong results and when they occur

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  18. proslijedio/la je Tweet

    My favorite talk thus far at : is algo explainability necessary if the underlying phenomenon itself is not explainable and there are other conflicting values that may be preferred, e.g., autonomy, trust, representation and sustained feedback?

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  19. proslijedio/la je Tweet
    28. sij

    are helping the efforts to ensure proper access to evidence to investigate Help us by filling out (really) quick survey (and please RT!). We need data to push for improvements! THANKS!

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  20. 28. sij
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  21. 28. sij

    Great paper presented by on some hidden assumptions of counterfactual explanations, plus partial explanations give decision-makers a considerable degree of power

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