Tag: transparency

21 links

www.ftm.nl > Hans Wilmink and Thijs Jansen
Het toeslagenschandaal: wat is er loos met de ethiek van de ambtenaar
21 apr. 2021 - De Toeslagenaffaire heeft één ding duidelijk gemaakt: ambtenaren hanteerden een keiharde aanpak van de van fraude verdachte ouders. Geen spatje mededogen. Klokkenluiders werden geloosd. Het kabinet wil dat ‘dergelijke problemen nooit meer gebeuren’. Topambtenaren en het demissionaire kabinet smeden nu revolutionaire plannen. Maar wat ging er mis met het ethisch besef van de ambtenaren?
 · belastingdienst · civil-servants · due-process · ethics · netherlands · transparency

www.equaltimes.org > Tom Cassauwers
Can algorithmic registers solve automated bias?
24 mar. 2021 - In January 2021 the Dutch government collapsed because of a scandal that highlights the dangers of trying to administer essential governent services with artificial intelligence (AI). Between 2009 and 2019, in what has become known as the toeslagenaffaire (the benefits affair), around 26,000 parents were wrongly accused of committing childcare benefit fraud.
 · algorithmic-auditing · algorithmic-bias · algorithmic-registers · finland · fraud · gdpr · interdisciplinarity · netherlands · saidot · transparency

algoritmeregister.amsterdam.nl
Amsterdam Algoritmeregister
Het algoritmeregister is een overzicht van de algoritmes die de gemeente Amsterdam gebruikt bij gemeentelijke dienstverlening. Een algoritme is een vooraf bepaalde set regels of stappen die door de computer gevolgd worden. Per algoritme vindt u eerst algemene informatie over de bedoeling en werking van het algoritme. Daarna vindt u meer gedetailleerde technische informatie. Door feedback te geven helpen kunt u ons helpen om de algoritmes die we gebruiken beter, eerlijker en verantwoorder te maken.
 · amsterdam · transparency

www.nber.org > Alan L. Zhang, Baozhong Yang, Sean Cao and Wei Jiang
How to Talk When a Machine is Listening: Corporate Disclosure in the Age of AI
1 oct. 2020 - This paper analyzes how corporate disclosure has been reshaped by machine processors, employed by algorithmic traders, robot investment advisors, and quantitative analysts. Our findings indicate that increasing machine and AI readership, proxied by machine downloads, motivates firms to prepare filings that are more friendly to machine parsing and processing. Moreover, firms with high expected machine downloads manage textual sentiment and audio emotion in ways catered to machine and AI readers, such as by differentially avoiding words that are perceived as negative by computational algorithms as compared to those by human readers, and by exhibiting speech emotion favored by machine learning software processors. The publication of Loughran and McDonald (2011) is instrumental in attributing the change in the measured sentiment to machine and AI readership. While existing research has explored how investors and researchers apply machine learning and computational tools to quantify qualitative information from disclosure and news, this study is the first to identify and analyze the feedback effect on corporate disclosure decisions, i.e., how companies adjust the way they talk knowing that machines are listening.
 · artificial-intelligence · corporate-disclosure · not-read · transparency

thecorrespondent.com > Morgan Meaker
The original Big Tech is working closer than ever with governments to combat coronavirus – with no scrutiny
5 aug. 2020 - Telecom companies are at the core of the world’s communication universe. Since the coronavirus pandemic, they’ve been passing even more sensitive data to governments. It’s time they were held as accountable as Google and Facebook.
 · contact-tracing · covid-19 · covid-19-apps · data-retention · internet-shutdowns · israel · location · shin-bet · snowden-disclosures · surveillance · telecoms · transparency · whistleblowing