Language models increasingly rely on massive web dumps for diverse text data. However, these sources are rife with undesirable content. As such, resources like Wikipedia, books, and newswire often serve as anchors for automatically selecting web text most suitable for language modeling, a process typically referred to as quality filtering. Using a new dataset of U.S. high school newspaper articles -- written by students from across the country -- we investigate whose language is preferred by the quality filter used for GPT-3. We find that newspapers from larger schools, located in wealthier, educated, and urban ZIP codes are more likely to be classified as high quality. We then demonstrate that the filter's measurement of quality is unaligned with other sensible metrics, such as factuality or literary acclaim. We argue that privileging any corpus as high quality entails a language ideology, and more care is needed to construct training corpora for language models, with better transparency and justification for the inclusion or exclusion of various texts.

Recommender systems are among the most pervasive machine learning applications on the Internet. Social media, audio and video streaming, news, and e-commerce are all heavily driven by the data-intensive personalization they enable, leveraging information drawn from the behavior of large user bases to offer a myriad of recommendation services. Point of Interest (PoI) recommendation is the task of recommending locations (business, cultural sites, natural areas) for a user to visit. This is a well-established sub-field within recommender systems, and as a domain of application, it provides a good introduction to the challenges of applying personalized recommendation in practical contexts. An effective PoI recommender must consider a user's interests and preferences, as in any personalized system, but also practical aspects of travel: weather, congestion, hours of operation, seasonality, to name a few.

Digital banking continues to grow in momentum and importance. Jacquie Hersch, head of industry marketing for financial services at ServiceNow, joins us to discuss digital transformation and how banks can offer even more effective digital products and services. Below is a full transcript of my interview with Jacquie Hersch. Welcome to the BAI Banking Strategies podcast. I've been looking forward to it. Jacquie, ServiceNow recently collaborated Aite-Novarica on a white paper titled "Transforming the Banking Experience Through Digital Growth."

The US Department of Energy (DOE) has long stood out as one of the most science, technology, and innovation-focused US federal agencies. It should come as little surprise then that the DOE continues to invest in transformative technology such as artificial intelligence and machine learning. The DOE established the Artificial Intelligence and Technology (AITO) office to help transform the DOE into a world leading Artificial Intelligence (AI) enterprise by accelerating the research, development, delivery, and adoption of AI. Pamela Isom, the new Director of the AITO, will be presenting at the February 2022 AI in Government event to share how they are maximizing the impacts of AI through strategic coordination, planning, and customer service excellence. In this interview article Ms. Isom goes into greater detail about how the DOE is leveraging data, and transformative technologies to help advance the agency's core missions.

The Royal Surrey Foundation Trust treated Emma McCormick, 44, using adaptive radiotherapy after she was diagnosed with the cancer last April and was referred to St Luke's Cancer Centre. The treatment, called Ethos, involves a machine, created by healthcare company Varian, which uses artificial intelligence to deliver a prescription dose to tumours. The AI technology uses daily CT scans to target the specific areas that need radiotherapy, which helps avoid damage to healthy tissue and limit side-effects. Patients are required only to lay still on a flat surface inside the machine for the duration of the treatment. There is a screen above the machine which shows different images, and medical staff can play music to make the treatment more comfortable.

Something a little more unusual in this blog post as we are going to be exploring how Artificial Intelligence can be a tool that we can use to help and support people, of any age with additional needs or disabilities, in our churches. "Technology has changed the world, bringing knowledge within reach and expanding a range of opportunities. Persons with disabilities can benefit enormously from such advances, yet too many lack access to these essential tools…" So, has anything changed since then? And what does today's Artificial Intelligence, or'AI', offer as technological solutions for disabled people, particularly in our church settings? What can we learn about'AI' together, that can enable us to better serve and support disabled people in our church communities?

Death by suicide is the seventh of the leading death cause worldwide. The recent advancement in Artificial Intelligence (AI), specifically AI application in image and voice processing, has created a promising opportunity to revolutionize suicide risk assessment. Subsequently, we have witnessed fast-growing literature of researches that applies AI to extract audiovisual non-verbal cues for mental illness assessment. However, the majority of the recent works focus on depression, despite the evident difference between depression signs and suicidal behavior non-verbal cues. In this paper, we review the recent works that study suicide ideation and suicide behavior detection through audiovisual feature analysis, mainly suicidal voice/speech acoustic features analysis and suicidal visual cues.

Ben Meisner is the Founder of the leading online photo editing platform Ribbet.com. Artificial intelligence (AI) may seem like a buzzword of the 21st century, but it entered the human psyche some time ago. A Harvard article on the history of AI points out that science fiction brought the concept into our minds in the first half of the 20th century through characters like the Tin Man in The Wizard of Oz and the humanoid robot impersonating Maria in Metropolis. Mankind is now taking the concept from idea to reality, and today AI has tremendous application in everything from medicine, construction and finance to home appliances, social media and copywriting. It has the unique capability to quickly learn from significant amounts of data, enabling it to tackle some of our most challenging technological issues.

Organizational intelligence (OI) is the capability of an organization to comprehend and create knowledge relevant to its purpose. In other words, it is the intellectual capacity of the entire organization. Lumenore is a powerful, intuitive, and cloud-based BI and analytics platform that delivers organizational intelligence by sifting data from any business application. Analytics Insight has engaged in an exclusive interview with Naren Vijay, EVP of Lumenore. Lumenore is a powerful, intuitive, and cloud-based BI and analytics platform that delivers organizational intelligence by sifting data from any business application.