For part of the lecture, I was preparing discussions surrounding AI and the future of work. I wanted to discuss how execution of different professional tasks were changing with technology, and what that means for the future of certain industries or occupational areas. I wanted to underline that some tasks like repetitive transactions, large scale iterations, standard rule applications are better done with AI – as long as they were the right solution for the context and problem, and were developed responsibly and monitored continuously. On the flip side, certain skills and tasks that include leading, empathizing, creating are to be left to humans – AI systems neither have the capacity or capability, nor should they be entrusted with such tasks. I wanted to add some visuals to the presentation and also check out what is currently being depicted in the search results.

When Bradford Newman began advocating for more artificial intelligence expertise in the C-suite in 2015, "people were laughing at me," he said. Newman, who leads global law firm Baker McKenzie's machine learning and AI practice in its Palo Alto office, added that when he mentioned the need for companies to appoint a chief AI officer, people typically responded, "What's that?" But as the use of artificial intelligence proliferates across the enterprise, and as issues around AI ethics, bias, risk, regulation and legislation currently swirl throughout the business landscape, the importance of appointing a chief AI officer is clearer than ever, he said. This recognition led to a new Baker McKenzie report, released in March, called "Risky Business: Identifying Blind Spots in Corporate Oversight of Artificial Intelligence." The report surveyed 500 US-based, C-level executives who self-identified as part of the decision-making team responsible for their organization's adoption, use and management of AI-enabled tools. In a press release upon the survey's release, Newman said: "Given the increase in state legislation and regulatory enforcement, companies need to step up their game when it comes to AI oversight and governance to ensure their AI is ethical and protect themselves from liability by managing their exposure to risk accordingly."

Discrimination laws must be adapted to consider the impact artificial intelligence algorithms have on certain groups, new research has found. The paper from the Oxford Internet Institute says that AI systems are exhibiting bias against groups not protected under current legislation, and that governments should consider updating laws to reflect this. In the study, published today in the journal'Tulane Law Review', author Professor Sandra Wachter of the Oxford Internet Institute argues that something as simple as the web browser you use, how fast you type or whether you sweat during an interview can lead to AI making a negative decision about you. She says current discrimination laws don't adequately combat the type of bias exhibited by artificial intelligence, because there are specific categories of people that receive unfair outcomes, including over loan decisions, job applications and funding requests, who fall outside of the "protected groups" covered by discrimination legislation. Discrimination linked to AI can happen in even ordinary situations without the individual even knowing an AI made the final call, says Professor Wachter in her paper.

A new initiative to partner with communities working with artificial intelligence and emerging technologies will expand efforts of promoting intellectual property protection in these areas, the US Patent and Trademark Office hopes. In a Federal Register notice published on Monday, the PTO said it is focused on incentivizing more innovation in key technology areas such as AI and ET--which includes quantum computing, synthetic biology, blockchain, and virtual reality. The office announced a series of meetings intended to explore "AI/ET-related initiatives at

Armed police couldn't stop the shooters in Buffalo and in Uvalde. But perhaps a very small drone equipped with a Taser could. Specifically, Axon CEO Rick Smith said in a Thursday announcement, "non-lethal drones capable of incapacitating an active shooter in less than 60 seconds" (or so the press release goes), which would be stationed inside of schools. At the push of a panic button, a trained human pilot at a control center elsewhere in the country would launch a drone. With the help of a network of security cameras, they would try to target the drone's onboard Taser probes into the shooter's flesh, in the hope of keeping them down until police could arrive on the scene.

The USPTO's goal is to foster and protect innovation in Artificial Intelligence (AI) and Emerging Technologies (ET) and bring those innovations to impact to enhance our country's economic prosperity and national security and to solve world problems. The AI/ET Partnership is an ongoing cooperative effort between the USPTO and the AI/ET community, including academia, independent inventors, small businesses, industry, other government agencies, nonprofits, and civil society. The USPTO seeks to engage the AI/ET community on ongoing and future USPTO AI/ET efforts, such as using AI and ET within the agency to enhance the quality and efficiency of patent and trademark examination. Additionally, the USPTO seeks the public's views on various intellectual property (IP) policy issues that uniquely affect the AI/ET community. The AI/ET Partnership will begin with a series of meetings exploring AI/ET-related initiatives at the USPTO and IP policy issues impacted by AI and other ET.

Several of 2022's most anticipated novels offer unique perspectives on society's thorniest issues, from racism to workplace harassment. Call it a summer fiction reading list for the socially engaged. Ms. Shibata is never officially assigned the menial tasks of her workplace--making coffee, tidying, answering the phones--but since she's the only woman on staff, her colleagues expect her to oversee them. Annoyed by the tedious sexism, Shibata announces that she is pregnant and unable to continue the extra work. We follow her fake pregnancy week by week, and though there is no child, something real grows within Shibata.

Bioware's quality assurance testers working on Dragon Age: Dreadwolf have voted to form the first unionized workplace for the video game industry in Canada. The United Food and Commercial Workers Local 401 applied to become the certified bargaining agent for Keywords Studios, the contracting company through which the testers are employed, back in April. Now, Kotaku says the election has resulted in a 16-0 vote in favor of unionization. Before working on the fourth major game in the Dragon Age franchise, they also supported the development of Mass Effect: Legendary Edition and Legacy of the Sith, an expansion for Star Wars: The Old Republic. The testers, who work out of BioWare's Edmonton office, started organizing after Keywords Studios announced that they'll be required to return to office, whereas direct BioWare employees were give more options.

The reanimation of the pseudosciences of physiognomy and phrenology at scale through computer vision and machine learning is a matter of urgent concern. This Article—which contributes to critical data studies, consumer protection law, biometric privacy law, and antidiscrimination law—endeavors to conceptualize and problematize physiognomic artificial intelligence (“AI”) and offer policy recommendations for state and federal lawmakers to forestall its proliferation. Physiognomic AI, as this Article contends, is the practice of using computer software and related systems to infer or create hierarchies of an individual’s body composition, protected class status, perceived character, capabilities, and future social outcomes based on their physical or behavioral characteristics. Physiognomic and phrenological logics are intrinsic to the technical mechanism of computer vision applied to humans. This Article observes how computer vision is a central vector for physiognomic AI technologies and unpacks how computer vision reanimates physiognomy in conception, form, and practice and the dangers this trend presents for civil liberties. This Article thus argues for legislative action to forestall and roll back the proliferation of physiognomic AI. To that end, it considers a potential menu of safeguards and limitations to significantly limit the deployment of physiognomic AI systems, which hopefully can be used to strengthen local, state, and federal legislation. This Article foregrounds its policy discussion by proposing the abolition of physiognomic AI. From there, it posits regimes of U.S. consumer protection law, biometric privacy law, and civil rights law as vehicles for rejecting physiognomy’s digital renaissance in AI. Specifically, it contends that physiognomic AI should be categorically rejected as oppressive and unjust. Second, it argues that lawmakers should declare physiognomic AI unfair and deceptive per se. Third, it proposes that lawmakers should enact or expand biometric privacy laws to prohibit physiognomic AI. Fourth, it recommends that lawmakers should prohibit physiognomic AI in places of public accommodation. It also observes the paucity of procedural and managerial regimes of fairness, accountability, and transparency in ad- dressing physiognomic AI and attend to potential counterarguments in support of physiognomic AI.

A new initiative to partner with communities working with artificial intelligence and emerging technologies will expand efforts of promoting intellectual property protection in these areas, the US Patent and Trademark Office hopes. In a Federal Register notice published on Monday, the PTO said it is focused on incentivizing more innovation in key technology areas such as AI and ET--which includes quantum computing, synthetic biology, blockchain, and virtual reality. The office announced a series of meetings intended to explore "AI/ET-related initiatives at the USPTO and IP policy issues impacted by AI and other ET." The intitiative will further the PTO's alignment ...