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High-Ranking Researcher Resigns From Google Artificial Intelligence Team

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Google in February fired Mitchell, a lead researcher, following a controversy. Google on Tuesday confirmed a leader of its artificial intelligence team has resigned in a departure that comes after the controversial firing of two colleagues. The internet giant declined to comment further on the resignation of Samy Bengio, who has worked at Google about four years and specialized in machine learning. "While I am looking forward to my next challenge, there's no doubt that leaving this wonderful team is really difficult," Bengio wrote in a work email first cited by Bloomberg. Bengio did not refer to Timnit Gebru or Margaret Mitchell, two former members of the team focused on ethical artificial intelligence.


'Coded Bias' Is the Most Important Film About AI You Can Watch Today

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Before it was even released, Coded Bias was positioned to become essential viewing for anyone interested in the AI ethics debate. The documentary, which was released on Netflix this week, is the kind of film that can and should be shown in countless high school classrooms, where students themselves are subjected to various AI systems in the post-pandemic age of Zoom. It's a refreshingly digestible introduction to the myriad ways algorithmic bias has infiltrated every aspect of our lives--from racist facial recognition and predictive policing systems to scoring software that decides who gets access to housing, loans, public assistance, and more.


How AI is Transforming Online Marketing

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"Artificial intelligence (AI) is extensive branch of computer science involved in building intelligent machines capable of performing jobs which typically require human intellect. AI is a interdisciplinary science with multiple strategies, but improvements in machine learning and profound learning are developing a paradigm shift in almost every sector of the technology sector." AI is swiftly working its way into many facets of our everyday lives. With more and more companies using AI, it isn't an exaggeration to say AI might bring the next industrial revolution. It has already started making large strides in areas such as customer service, but what can it do for online advertising?


DigiTech Insight Magazine

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The global spending on the artificial intelligence (AI) market is also estimated to reach $118.6 billion by 2025. A Business Wire research unveiled that the amount spent on cloud AI in the media and entertainment (M & E) industry is anticipated to reach $1,860.9 million by 2025 from $329 million in 2019. The worldwide AI market adoption rate is estimated to reach $118.6 billion by 2025 [source: www.statista.com] Here are some of the examples of how AI is changing the media landscape. The AI market for social media is estimated to reach 3,714.89 million at 28.77% CAGR by 2025.


A 'Glut' of Innovation Spotted in Data Science and ML Platforms

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These are heady days in data science and machine learning (DSML) according to Gartner, which identified a "glut" of innovation occurring in the market for DSML platforms. From established companies chasing AutoML or model governance to startups focusing on MLops or explainable AI, a plethora of vendors are simultaneously moving in all directions with their products as they seek to differentiate themselves amid a very diverse audience. "The DSML market is simultaneously more vibrant and messier than ever," a gaggle of Gartner analysts led by Peter Krensky wrote in the Magic Quadrant for DSML Platforms, which was published earlier this month. "The definitions and parameters of data science and data scientists continue to evolve, and the market is dramatically different from how it was in 2014, when we published the first Magic Quadrant on it." The 2021 Magic Quadrant for DSML is heavily represented by companies to the right of the axis, which anybody who's familiar with Gartner's quadrant-based assessment method knows represents the "completeness of vision."


How artificial intelligence is transforming the world

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Artificial intelligence (AI) is the basis for mimicking human intelligence processes through the creation and application of algorithms built into a dynamic computing environment. Stated simply, AI is trying to make computers think and act like humans. The more humanlike the desired outcome, the more data and processing power required. At least since the first century BCE, humans have been intrigued by the possibility of creating machines that mimic the human brain. In modern times, the term artificial intelligence was coined in 1955 by John McCarthy. In 1956, McCarthy and others organized a conference titled the "Dartmouth Summer Research Project on Artificial Intelligence."


Council Post: Diversity And Inclusion In AI

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Steve is the Head of Data Science and AI at Australian Computer Society, a proactive social media contributor and LinkedIn influencer. Due to the advent of the Industrial Revolution and the advancement of computer technology, we have seen a drastic change in the way we have lived over the past few decades. Our lives revolve around technology, and it is becoming more pervasive every year. Artificial intelligence (AI) has become a major catalyst in driving the next revolution. The rate of progress in the field of artificial intelligence is exponentially increasing and impacting our lives like never before.


H2020 STAR: Leading Edge Research For Trusted Artificial Intelligence In Production Lines

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In recent years, we are witnessing the digital transformation of production lines as part of manufacturers' transition to the fourth industrial revolution (Industry 4.0). Based on Cyber Physical Systems (CPS) and digital technologies like cloud computing, the Industrial Internet of Things (IIoT) and Artificial Intelligence (AI), Industry 4.0 is enabling flexible production lines and supporting innovative functionalities like mass customization, predictive maintenance, zero defect manufacturing and digital twins. AI is currently the most disruptive digital enabler of the Industry 4.0 era and enables novel use cases like predictive quality management (Quality 4.0), effective human robot collaboration, agile production, and generative software design. State of the art AI systems in industrial plants operate in rather controlled environments. Nevertheless, AI systems in industrial plants must be safe, trusted, and secure, even when operating in dynamic, unstructured and unpredictable environments.


Google fires second AI ethics researcher following internal investigation

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Google has fired Margaret Mitchell, co-lead of the ethical AI team, after she used an automated script to look through her emails in order to find evidence of discrimination against her coworker Timnit Gebru. The news was first reported by Axios. Mitchell's firing comes one day after Google announced a reorganization to its AI teams working on ethics and fairness. Marian Croak, a vice president in the engineering organization, is now leading "a new center of expertise on responsible AI within Google Research," according to a blog post. Mitchell joined Google in 2016 as a senior research scientist, according to her LinkedIn. Two years later, she helped start the ethical AI team alongside Gebru, a renowned researcher known for her work on bias in facial recognition technology.


Futurium

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Recent study by Dr Kristina Irion joins up three EU policy areas that intersect in the digital age: consumer protection, EU governance of AI and EU external trade. "They are becoming so intertwined', says Dr. Irion. 'My research is breaking up the silos and drawing insights from their interactions.' According to the research, the source code clause within trade law restricts the EU's right to regulate AI policy. Dr Irion's study concludes that the EU position on source code in international trade agreements limits the EU's ability to regulate AI in the interests of consumers.