UAE: Future Possibilities Report 2020 report : 6 transformational trends that could add up to US$30 trillion to the global economy by 2025:Įxabyte Economy (Big Data): Hyperconnected Devices, Data and PeopleĮxperience Economy: From Ownership to Usership (In the apparent absence of state-sponsored terrorism). RNZ: Should we be worried about the rise of QAnon?Īlso by David Farrier, who is on fire with Webworm : coverage of how the QAnon conspiracy cult slipped into AoNZ, and how it has the mechanics of an ARG (Alternative Reality Game), but without any rules. (TLDR: trigger happy dude spending too much time on Reddit and Facebook). Webworm’s David Farrier and Dylan Reeve document the origins of a rumour / conspiracy theory that spun out of control over the weekend here in AoNZ, trying to understand the motivations of the individual involved and mechanics of how the disinformation spread. (And yes I’m very aware that I could just be outside the targeted audience group and so just how would I know…?) A few recent pieces following this train of thought, though: Clearly there are many very loud opinions and conspiracy theories out there - but so far I fail to detect firm traces of a complex and coordinated foreign influencing / antagonising campaign at work. Personally, I observed last week a tangible shift in the signal:noise ratio in my feeds since the current election season started.
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Damaging its political stability and social cohesion, particularly ahead of a busy electoral season, would resonate around the world.ĭespite this, the extent to which computational propaganda campaigns are acting upon New Zealand is not publicly understood.” “…In short, New Zealand has become a premier strategic target for agents who wish to make an example of it. In particular, the opening chapter by Brainbox Institute ’s Tom Barraclough and Curtis Barnes: Digitised lies: New Zealand and the globalised disinformation threat cuts directly to the chase: I’ve been making my way through this excellent, utterly contemporary collection of essays, with contributions from leading AoNZ thinkers in this space.
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How best to balance these concerns?Ī couple of weeks ago in Memia 2020.26 I flagged the publication of Shouting Zeros and Ones: Digital Technology, Ethics and Policy in New Zealand (Only NZ$5 ebook, recommended). In this case factoring human (teacher prediction) judgements into the model (eg human+machine) rather than just human or just machine may have provided a more optimum outcome.Īs I’ve previously mentioned this may have the unfortunate side effect of discouraging public sector investment in automation due to potential “algorithm risks” - meaning that long overdue moves towards more efficient digital government services could be delayed by years. This will take a long time to change I expect. The AoNZ Government’s newly minted Algorithm Charter is intended to prevent something similar happening here…would it have?įundamentally people are still reluctant to trust algorithms over human judgement on major decisions *when it goes wrong*. When planning to use algorithms for decisions which affect people’s lives, the algorithm (and source code) should be published openly and early for peer review.Įnsure any algorithm fits with FAST (Fair, Accountable, Sustainable, Transparent) principles. Without knowing why…the pain can only be amplified by the incomprehension of why, combined with the feeling of powerlessness it brings…this is a terrible example of using artificial intelligence to make life altering decisions.”Īugust 16th 2020 911 Retweets 2,622 LikesĪfter considerable pressure, Ofqual has now agreed to revert to basing grades on teacher assessments (which *may well* result in grade inflation and even people being promoted above their level of competence ?). “…denying explanations to students is almost as cruel as giving them the wrong grades. Tom Haines, a machine learning lecturer at Bath University provides a forensic critique of the algorithm, together with an interactive visualisation.
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What's more, the downgrading affected state schools much more than the private sector.” “In England, 36% of entries had a lower grade than teachers recommended and 3% were down two grades. The issue was that many students had been downgraded from their teacher-predicted results, radically affecting their university entrance and other life opportunities, with a strong implication of bias against students from disadvantaged backgrounds. Ofqual (UK NZQA equivalent) released the details behind the algorithm in a 319-page technical report at the same time as releasing the results - check out this accessible explainer from Jeni Tennison. (The situation arising after final exams had to be cancelled due to the Covid-19 pandemic.) On Monday the UK government was forced to U-turn from letting an algorithm decide A-level results (equivalent of NCEA level 3 in AoNZ) in place of teacher predictions.