online ad
CarbonTag: A Browser-Based Method for Approximating Energy Consumption of Online Ads
Cabañas, José González, Callejo, Patricia, Cuevas, Rubén, Svatberg, Steffen, Torjesen, Tommy, Cuevas, Ángel, Pastor, Antonio, Kotila, Mikko
Energy is today the most critical environmental challenge. The amount of carbon emissions contributing to climate change is significantly influenced by both the production and consumption of energy. Measuring and reducing the energy consumption of services is a crucial step toward reducing adverse environmental effects caused by carbon emissions. Millions of websites rely on online advertisements to generate revenue, with most websites earning most or all of their revenues from ads. As a result, hundreds of billions of online ads are delivered daily to internet users to be rendered in their browsers. Both the delivery and rendering of each ad consume energy. This study investigates how much energy online ads use in the rendering process and offers a way for predicting it as part of rendering the ad. To the best of the authors' knowledge, this is the first study to calculate the energy usage of single advertisements in the rendering process. Our research further introduces different levels of consumption by which online ads can be classified based on energy efficiency. This classification will allow advertisers to add energy efficiency metrics and optimize campaigns towards consuming less possible.
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Online Ads Are About to Get Even Worse
At a glance, the tech giants don't seem to have a lot in common. Meta connects you to friends and family. Apple makes phones and computers. Microsoft is all about business software. But under the hood, they are united by advertising, referred to as the "dark beating heart of the internet" by the author Tim Hwang in his book Subprime Attention Crisis.
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How AI can fight human trafficking
The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. There are 40.3 million victims of human trafficking globally, according to the International Labor Organization. Marinus Analytics, a startup based in Pittsburgh, Pennsylvania, hopes to make a dent in that number. The company's mission is to "serve those working on the frontlines of public safety by developing technology for them to disrupt human trafficking, child abuse, and cyber fraud." For its achievements, Marinus won $500,000 as part of its third-place ranking in the 2021 IBM Watson AI XPRIZE competition.
How AI can fight human trafficking
The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. There are 40.3 million victims of human trafficking globally, according to the International Labor Organization. Marinus Analytics, a startup based in Pittsburgh, Pennsylvania, hopes to make a dent in that number. The company's mission is to "serve those working on the frontlines of public safety by developing technology for them to disrupt human trafficking, child abuse, and cyber fraud." For its achievements, Marinus won $500,000 as part of its third-place ranking in the 2021 IBM Watson AI XPRIZE competition.
IBM working on AI tools to fight bias in online ads - TechCentral.ie
Seeking to address discrimination concerns, IBM is working on new artificial intelligence (AI) tools that would make sure online advertising algorithms don't unfairly exclude women and minorities. Researchers and civil rights groups have found some online audiences, including black people and women, can be excluded from seeing employment listings, housing ads, and other ads due to automated advertising strategies. Following complaints by federal regulators and activists, Google and Facebook, the world's largest sellers of online ads, have enacted changes to reverse this trend. Now, IBM is launching a new AI project to combat this problem, according to Reuters. IBM says a team of 14 employees will research "fairness" in online ads over the rest of 2021.
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IBM explores AI tools to spot, cut bias in online ad targeting
The company told Reuters on Thursday that a team of 14 will research "fairness" in ads over the next six months, exploring ways to spot and mitigate unintended bias, including in audiences and the messages themselves. Academic researchers and civil rights groups have found for a decade that some audiences including Black people and women can be excluded from seeing job, housing and other ads because of potentially unlawful choices made by advertisers or automated systems they use. Following complaints by U.S. anti-discrimination regulators and activists, Facebook Inc and Alphabet Inc's Google, which are the world's biggest digital ads sellers, enacted some changes. But problems remain, while greater concern about data privacy has already begun reshaping internet marketing. "The foundation of advertising is crumbling and we have to rebuild the house," IBM Senior Vice President Bob Lord said. "While we're at it, let's ensure fairness is in the blueprint."
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IBM explores AI tools to spot, cut bias in online ad targeting
IBM Corp is developing tools that would ensure online advertising algorithms do not unfairly show ads to only specific groups such as mostly men or wealthy people, aiming to address discrimination concerns that have drawn industrywide scrutiny. The company told Reuters on Thursday that a team of 14 will research "fairness" in ads over the next six months, exploring ways to spot and mitigate unintended bias, including in audiences and the messages themselves. Academic researchers and civil rights groups have found for a decade that some audiences including Black people and women can be excluded from seeing job, housing and other ads because of potentially unlawful choices made by advertisers or automated systems they use. Following complaints by U.S. anti-discrimination regulators and activists, Facebook Inc and Alphabet Inc's Google, which are the world's biggest digital ads sellers, enacted some changes. Also Read Google's adtech business set to face formal EU probe by year-end But problems remain, while greater concern about data privacy has already begun reshaping internet marketing.
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IBM explores AI tools to spot, cut bias in online ad targeting
June 24 (Reuters) - IBM Corp (IBM.N) is developing tools that would ensure online advertising algorithms do not unfairly show ads to only specific groups such as mostly men or wealthy people, aiming to address discrimination concerns that have drawn industrywide scrutiny. The company told Reuters on Thursday that a team of 14 will research "fairness" in ads over the next six months, exploring ways to spot and mitigate unintended bias, including in audiences and the messages themselves. Academic researchers and civil rights groups have found for a decade that some audiences including Black people and women can be excluded from seeing job, housing and other ads because of potentially unlawful choices made by advertisers or automated systems they use. Following complaints by U.S. anti-discrimination regulators and activists, Facebook Inc (FB.O) and Alphabet Inc's (GOOGL.O) Google, which are the world's biggest digital ads sellers, enacted some changes. But problems remain, while greater concern about data privacy has already begun reshaping internet marketing. "The foundation of advertising is crumbling and we have to rebuild the house," IBM Senior Vice President Bob Lord said.
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How AI can help halt human sex trafficking – by identifying victims' hotel rooms from pics
AI is the latest recruit in the ongoing efforts to stamp out the scourge of human trafficking – by helping police figure out which hotels victims are being held. Hundreds of thousands of people are shuttled across borders every year against their will and exploited, most of them young women coerced into prostitution. Traffickers often take photos of their victims in hotel rooms to use in online escort ads. Now, boffins are trying to use machine-learning software to help cops and non-profits identify where these victims are being held based on patterns discerned from the ad images. A group of researchers from George Washington University, Temple University, and Adobe in the US have built a large dataset containing over a million images from 50,000 hotels across different countries.
The Future of Work Might Actually Be ... Good?
The machines are coming for us--or at least for our jobs. From a bot that'll whip you up the perfect cheeseburger, to a flurry of cameras and scanners designed to make checkout lines a thing of the past, automation is already chipping away at middle-skill jobs in multiple industries. So is it time to abandon your job in panic and run to the hills? Stacy Brown-Philpot doesn't think so. "There's always this question of what are robots going to replace," Brown-Philpot, CEO of TaskRabbit, told WIRED editor in chief Nicholas Thompson at the WIRED25 Festival in San Francisco.
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