News
Zwei Ströme: kuratierte tÀgliche News zu Arbeit und KI in deiner Sprache (sie öffnen sich im PegaPoll-Reader, wo du abstimmen kannst) und amtliche Statistikmeldungen sowie Forschungsnews.
Kuratierte News
Die News öffnen sich im PegaPoll-Reader, wo du darĂŒber abstimmen kannst. Die Auswahl ist automatisch: Wir heben Arbeit, Karriere und kĂŒnstliche Intelligenz hervor.
Sakana AIs selbstverbesserndes Modell verbessert das Lösen und Bewerten, ĂŒbersieht jedoch eigene blinde Flecken
Forscher von Sakana AI und der UC Berkeley haben die Methode âMulti-Agent Self-Supervisionâ (MASS) vorgestellt, bei der ein einzelnes Sprachmodell Aufgaben löst, Ergebnisse bewertet und ArbeitsablĂ€ufe optimiert. Nach zwei Runden erreichte das Modell eine Gewinnrate von fast 70 Prozent gegenĂŒber dem Basismodell. Die Studie zeigt jedoch, dass gemeinsame blinde Flecken dazu fĂŒhren können, dass Fehler in allen drei Rollen fĂ€lschlicherweise als Fortschritt gewertet und im nĂ€chsten Trainingszyklus verstĂ€rkt werden.
IG-Metall-Chefin Christiane Benner verteidigt fĂŒnf Prozent mehr Lohn
Alexander Schweitzer ĂŒbernimmt das Amt des Bundesarbeitsministeriums
Cloudflare ĂŒbernimmt Deno zur Verbesserung des Workers-Programmiermodells
Mercedes-Streit um 35-Stunden-Woche wirkt ĂŒber den Konzern hinaus
Netflix plant laut Bericht Entlassung von rund fĂŒnf Prozent der Belegschaft
OpenAI verteidigt Entlassung von drei Sicherheitsforschern
Audi plant weitere Einsparungen und Stellenstreichungen
Psychische Erkrankungen verursachen immer mehr Fehltage
Commerzbank-Ăbernahme durch UniCredit verunsichert BeschĂ€ftigte und Firmenkunden
Royal Mail streicht im Zuge des Umbaus bis zu 2.500 Stellen
KI trifft auf dem US-Arbeitsmarkt vor allem junge BeschÀftigte
Statistik & Forschung
Direkt von StatistikÀmtern, EU-Institutionen und Forschungsinstituten, in der Originalsprache. Die Relevanz ergibt ein Stichwortfilter.
heise-Angebot: AI Beyond the Hype: Was KI in echten Software-Teams wirklich verÀndert
Was bleibt vom KI-Versprechen in der Praxis? Der OOP-Track âAI Beyond the Hypeâ beschĂ€ftigt sich mit echten Erfahrungen, Zahlen und Trade-offs aus Softwareteams
Kommentar zu Apples Privacy-Versprechen: Zweifache Rolle rĂŒckwĂ€rts
Offensiv Trainingsdaten fĂŒr Siri AI verlangen und Lauschfunktionen in der Apple Watch: Bei Apple scheint im Hinblick auf Datenschutz ein neuer Wind zu wehen.
heise-Angebot: iX-Webinar: AI Act kompakt â Kennzeichnung, KI-Kompetenz, Hochrisiko-KI
Erfahren Sie, wie Sie die neuen Anforderungen des AI Acts an Kennzeichnung, KI-Kompetenz und Hochrisiko-KI in Ihrem Unternehmen praktisch umsetzen können.
Distributional Intersectional Fairness in AI-Supported Job Matching
Das aktuelle Papier analysiert, wie maschinelle Lernverfahren die Verteilung von Ergebnissen zwischen sich ĂŒberschneidenden sozialen Gruppen verĂ€ndern. Der Beitrag Distributional Intersectional Fairness in AI-Supported Job Matching erschien zuerst auf IAB - Institut fĂŒr Arbeitsmarkt- und Berufsforschung.
Dystopian and dehumanising: thatâs what it felt like when I was interviewed by an AI assistant
Outsourcing the essential task of interviewing job applicants to a machine seems lazy at best, negligent at worst. I want better for all of us Over the past 15 years of my working life, Iâve done a lot of interviews for a lot of different jobs and industries: call centre operator, social media manager, bookseller, copywriter, library worker. Recently, after completing my first year of a masters degree in early childhood and primary teaching, I applied for a preschool education role and experienced a first: being interviewed by AI. Iâd heard of this practice and was aware of its shortcomings, from how demoralising it is to the risk of discrimination.
Italy and Czechia step up skills anticipation for the age of AI
Italy and Czechia step up skills anticipation for the age of AI A new EU-funded project will help both countries turn skills intelligence into policy action A new EU-funded cooperation under the Technical Support Instrument (TSI) will support Italy and Czechia in understanding how artificial intelligence (AI) and automation are reshaping jobs, identifying emerging skills needs, and strengthening the governance systems needed to turn skills intelligence into policy action. Launched in Rome on 22 September, the new two-year project WORK.FUTURE: âAI, Skills Anticipation and Governance Reform: Supporting Italy and Czechia in building a Future-Ready Workforceâ brings together Cedef
Tell us: have you been monitored or assessed by AI at work?
Weâd like to hear from people who have been monitored or assessed by AI at work and what they thought about the experience Firms are increasingly using AI to monitor or assess their employees, leading to concerns about workplace surveillance. Instructors at tech training company Multiverse recently blew the whistle at their âremorselessâ and âunnervingâ AI monitoring system, while The Co-Op has used automated listening technology that rates every phone call some of them make to customers.
The adjustment of the Danish labour market to AI has begun
Policymakers are asking whether generative AI is reshaping labour demand, and the literature has found mixed results so far. This column links Denmarkâs official IT-use survey to monthly employerâemployee records and compares firms that started using AI in 2023 with those that did not. Early adopters fall behind their own pre-adoption employment trend. The decline is most visible in AI-exposed jobs and among new hires, and only significant among small firms. The results indicate that AI is affecting the labour market, even though the effect is not visible in the aggregate statistics.
Rightwing âgreat replacementâ fears mask tech's real great replacement | Jason Stanley
While adherents to the racist theory condemn a shadowy global elite, Silicon Valley is working toward the replacement of humans with AI Across the world, âgreat replacementâ theory has been employed again and again as the political foundation for fascism. Some of its fundamental tenets, such as the view that âwhites are a dying minorityâ, have been amplified by tech billionaires and their platforms. According to the version of this theory most employed in Europe and the United States, white replacement theory, white populations are being âreplacedâ by non-white populations, a replacement engineered by a shadowy global elite. For example, the need for skilled labor is supposedly being used by global elites as an excuse to bring in non-white immigrants to replace white workers. An AfD-led state government will develop a strategy for Saxony-Anhalt focused on technological upgrading, digital
Hiding in the mean: AI is adding jobs and removing them at the same time
Estimates of AI's employment effect disagree in size and even in sign. This column argues the disagreement is built into the measurement: AI substitutes for humans on some tasks and complements humans on others, and any single exposure index nets these opposing forces into one number. Classifying US work tasks by what they require of a human and letting the two forces enter separately, both effects appear at once: since 2021, highly substitutable work has grown 3.3 percentage points a year more slowly, and complemented work 3.3 points faster. The adjustment runs primarily through hiring rather than firing, and it lands on the young.
Training novices to think in the age of large language models
Whether teaching a cognitive skill remains valuable in this era of AI is a crucial question in education and for firms. This column reports on an experiment in which around 1,000 undergraduates in Italy received either (1) causal-reasoning training, (2) access to ChatGPT, (3) both, or (4) neither. While students with ChatGPT scored better in an assignment to write a 180-word recommendation on a real-world problem, only those who had received causal-reasoning training produced unique ideas. The findings highlight the benefits of combining training in first-principles thinking with large language models.
Measuring what work generative AI does: Survey evidence versus chat logs
The chat logs of AI companies are often used to measure what work AI actually does. This column uses a nationally representative US survey that links generative AI use to workersâ detailed tasks and compares them with task shares derived from Anthropic, Microsoft, and OpenAI chat data. The four sources disagree sharply, largely because chat classifiers cannot see a userâs occupation and therefore classify use into a few generic activities. Chat logs are informative but on their own can misattribute AI use across occupations and cannot substitute for measurement anchored in who the worker is.
New jobs in 140 years of data: Why the AI displacement fear is overstated â and what to worry about instead
Forecasts of AI-driven job destruction rest on counting automatable tasks. But labour markets hire, pay, and fire whole occupations, not tasks â and occupations have proved far more durable than task exposure implies. Drawing on 140 years of Swedish census and register data, this column shows that roughly seven in ten workers today are in occupations whose core functions already existed in the late-nineteenth century. The mass-unemployment fear is overstated; the subtler question is whether todayâs technological wave still generates the durable, specialised new work that earlier ones did.
Quellen: Eurostat â news releases · Cedefop · European Commission â DG EMPL · ONS â labour market · Destatis · IAB â Institut fĂŒr Arbeitsmarkt- und Berufsforschung · VoxEU (CEPR) · Indeed Hiring Lab · Bruegel · One Useful Thing (Ethan Mollick) · MIT Technology Review â AI · The Guardian â Work & careers · Rest of World · heise â KĂŒnstliche Intelligenz · tagesschau â Wirtschaft · SRF â Wirtschaft · NZZ â Wirtschaft · Portfolio