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Judge likely to approve $18 million Activision Blizzard sexual harassment suit settlement

Washington Post - Technology News

The $18 million settlement with the EEOC would be the second largest sexual harassment settlement the agency has ever negotiated. But to critics of the settlement, including the DFEH, a significant number of Activision Blizzard workers and their ally, media labor union Communications Workers of America (CWA), that sum is insufficient for potentially hundreds or more victims. In a letter addressed to the EEOC on Oct. 6, the CWA called $18 million "woefully inadequate" and said Activision Blizzard employees and the CWA had "grave concerns" over the settlement agreement.


MARQUES Class 99

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The report can be downloaded here in English. The Executive Summary is also available to download in all EU languages. The report has been compiled with the help of the Impact of technology Expert Group, which was established in early 2019. It is based on a desk review study, interviews and focus group discussions and case analysis. The group developed a methodology called the Intellectual Property Tech Chain, which was described in its first report, published in September 2020. These 20 scenarios are grouped into two storylines – physical products and digital content.


Artificial intelligence: the EU needs to act as a global standard-setter

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The adopted text says that the public debate on the use of artificial intelligence (AI) should focus on this technology's enormous potential to complement humans. The text warns that the EU has fallen behind in the global race for tech leadership. As a result, there is a risk that standards will be developed elsewhere in the future, often by non-democratic actors, while the EU needs to act as a global standard-setter in AI. MEPs identified policy options that could unlock AI's potential in health, the environment and climate change, to help combat pandemics and global hunger, as well as enhancing people's quality of life through personalised medicine. AI, if combined with the necessary support infrastructure, education and training, can increase capital and labour productivity, innovation, sustainable growth and job creation, they add.


Is Artificial Intelligence Undermining The Legal System?

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The incident that was reported as occurring in India could definitely happen anywhere in the world. Given that your electronic devices are likely connected to the Internet, it is feasible to do a cyber break-in by someone in their pyjamas on the other side of the globe. Make sure to have all of your cybersecurity protections enabled and kept up to date (this won't guarantee avoiding a break-in, though it reduces the odds). Do ongoing electronic scans of your devices to try and early detect any adverse implants.


Why 2022 is only the beginning for AI regulation

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Did you miss a session at the Data Summit? As the world becomes increasingly dependent on technology to communicate, attend school, do our work, buy groceries and more, artificial intelligence (AI) and machine learning (ML) play a bigger role in our lives. Living through the second year of the COVID-19 pandemic has shown the value of technology and AI. It has also revealed a dangerous side and regulators have responded accordingly. In 2021, across the world, governing bodies have been working to regulate how AI and ML systems are used.


Fairwords claims to prevent workplace harassment with AI, but the reality is more complicated

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Did you miss a session at the Data Summit? Harassment in the workplace affects employees of all backgrounds, genders, sexualities, and ethnicities -- but disproportionately those in under-represented groups. A 2018 survey by Stop Street Harassment showed that 81% of women have been harassed in their lifetime. And according to a UCLA School of Law study, half of LGBTQ workers have faced job discrimination at some point in their careers. Work-from-home arrangements during the pandemic haven't slowed or reversed the trend -- in fact, they've accelerated it.


G2 Esports files lawsuit against NFT provider Bondly

Washington Post - Technology News

G2 alleges in the lawsuit that shortly after the first rights fee invoice was sent, a representative for Bondly wrote to G2 that the company was "past the point of being able to successfully deliver an NFT program." In subsequent communications, G2 alleges the two parties could not come to an agreement over who was in charge of responsibilities outlined in the contract, and that Bondly sought to pause the agreement -- a move that G2 rejected. According to the claims in the filing, several weeks later Bondly attempted to terminate the agreement between the two companies, citing G2′s unwillingness to work toward a mutually agreed upon solution.


The need of AI Risk Managers in organizations: AI is not a risk-free asset

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There are several risks involved in dealing with Artificial Intelligence (AI). In the globalized world, however, such methodology choices can eventually snowball into much greater economic risks. Let me make a case for an AI Risk Manager in organizations, preferably sitting in the Risk Management Department (RMD) if not compliance. The series of recent AI mishaps have further ignited the debate. A person from Michigan sued the Detroit police after being falsely arrested and falsely identified as a shoplifting suspect by the department's facial recognition software.


Two schools of thoughts for Responsible AI: which one you subscribe ?

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There are two schools of thoughts on how AI could be more responsible. Let us understand both and see what do I recommend. The Regulatory School of thought is one of the largest political economics schools. Its origins date back to the early 1970s in France, when the economy was a wreck and there was a great deal of economic instability. Its founder, Destanne de Bernis, coined the term regulation, and his goal was to use the concept as a systems theory to update Marx's economics.


Ethics and AI: 3 Conversations Companies Need to Have

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Over the past several years, concerns around AI ethics have gone mainstream. The concerns, and the outcomes everyone wants to avoid, are largely agreed upon and well documented. No one wants to push out discriminatory or biased AI. No one wants to be the object of a lawsuit or regulatory investigation for violations of privacy. But once we've all agreed that biased, black box, privacy-violating AI is bad, where do we go from here?