PHILADELPHIA, March 22, 2022 (GLOBE NEWSWIRE) -- Just over one in five employees believe their employer is preparing them for a more data-oriented and automated workplace (21%), according to new research from Qlik, a leader in data analytics. This is despite most business leaders predicting an upheaval in working practices due to the rapid onset of artificial intelligence (AI). With 35% of employees surveyed reporting they had changed jobs in the last 12 months because their employer wasn't offering enough upskilling and training opportunities, there is a stark need to better upskill workforces to support the workplace transition that is already underway. The report, Data Literacy: The Upskilling Evolution, was developed by Qlik in partnership with The Future Labs and combines insights from expert interviews with surveys from over 1,200 global C-level executives and 6,000 employees*. The findings, which were largely consistent across all geographies surveyed, reveal how the rapid growth in data usage is extending enterprise aspirations for its potential and, in turn, transforming working practices.

This is an opportunity for insurance carriers to differentiate with an always-on, contextual educational experience in addition to improved digital self-service options. While a single agent or broker can't offer personalized advice to thousands of individual insureds with varying needs and levels of knowledge, technology can. Digital assistants and chatbots can answer questions, guide plan members through enrollment, and recommend new products and services based on a plan member's health and demographic information. Like human assistants, the best digital assistants are proactive, not reactive. Ella, the name of Sun Life's AI-enabled "digital coach" first launched in 2018, encourages plan members to take action on important deadlines, cost-savings, and product offerings.

The domain of Artificial Intelligence (AI) ethics is not new, with discussions going back at least 40 years. Teaching the principles and requirements of ethical AI to students is considered an essential part of this domain, with an increasing number of technical AI courses taught at several higher-education institutions around the globe including content related to ethics. By using Latent Dirichlet Allocation (LDA), a generative probabilistic topic model, this study uncovers topics in teaching ethics in AI courses and their trends related to where the courses are taught, by whom, and at what level of cognitive complexity and specificity according to Bloom’s taxonomy. In this exploratory study based on unsupervised machine learning, we analyzed a total of 166 courses: 116 from North American universities, 11 from Asia, 36 from Europe, and 10 from other regions. Based on this analysis, we were able to synthesize a model of teaching approaches, which we call BAG (Build, Assess, and Govern), that combines specific cognitive levels, course content topics, and disciplines affiliated with the department(s) in charge of the course. We critically assess the implications of this teaching paradigm and provide suggestions about how to move away from these practices. We challenge teaching practitioners and program coordinators to reflect on their usual procedures so that they may expand their methodology beyond the confines of stereotypical thought and traditional biases regarding what disciplines should teach and how. This article appears in the AI & Society track.

Thaler first brought the image created by his "Creativity Machine" algorithm to the USCO in November 2018, Eileen Kinsella reported for Artnet News. A Recent Entrance to Paradise is part of a series Thaler describes as a "simulated near-death experience," where an algorithm repurposes pictures to create images seen by a synthetic dying brain. Thaler noted to the USCO he was "seeking to register this computer-generated work as a work-for-hire to the owner of the Creativity Machine." Providing this protection is required under current legal frameworks." Thaler has previously tested the limits of patent laws in numerous countries.

For additional information, please visit our website at Acrisure.com. Products or services identified herein may not be available in all jurisdictions. The information and descriptions contained herein (a) are not necessarily intended to be complete descriptions of all applicable terms, conditions, and exclusions of the policies referenced, (b) are provided solely for general informational purposes, and (c) should not be viewed as a substitute for legal, regulatory, or other advice on any particular issue or for any particular reason. The advice of a professional should always be obtained before purchasing any insurance product or service, and you should not rely on the information provided herein for the prevention or mitigation of risks or as a full and complete explanation of coverage under any insurance policy. While the information contained herein has been compiled from sources believed to be reliable, no warranty, guarantee, or representation, either expressed or implied, is made as to the correctness or sufficiency of any representation contained herein.

Artificial intelligence (AI) adoption has been largely accepted in the legal community, as many have realized the value of technology that can detect relevant content and produce better outcomes. Incorporating AI into document review workflows or using insights to inform case strategy is transformative and drives better results. From government requests to civil litigation and internal investigations, high profile and fast-moving matters require efficient processes. Deploying technology strategically will help teams to identity key documents and themes early in the case and manage the assessment and review of data efficiently. The continued evolution of AI tools, such as the ability to detect conduct and behavior through sentiment analysis and pattern processing, will further assist with investigatory compliance but can also be used proactively.

The Ada Lovelace Institute (Ada) is hiring a Visiting Senior Researcher to lead a research project exploring the climate impacts of AI and data-driven systems. This project fits within our programme of work around Ethics and Accountability in Practice, and will explore how regulators, industry practitioners and researchers can evaluate and assess the climate impact of an AI system at various stages of its lifecycle.The roleAddressing the environmental impact of data and AI is critical to ensuring a future in which data and AI work for people and society. By one estimate, information and communication technologies (ICTs) are projected to account for 14% of global greenhouse gas emissions by 2040, with nearly half of this use predicted to come from data centres. There is an urgent need for developers, practitioners, procurers and researchers of AI and data-driven technologies to evaluate and account for the potential climate impact of their systems.The role of Visiting Senior Researcher, Climate and AI, provides an excellent opportunity for a mid-career researcher to craft and execute a research project on in a dynamic and energetic policy and practice-facing organisation. This is a new position created as part of our 2021-2024 strategy, which organises Ada’s research under five programmatic priorities:  the Future of Regulation; Ethics & Accountability in Practice; Public Sector Use of Data & Algorithms; Biometrics; and Health Data and COVID-19 Technologies.To date, our Ethics & Accountability in Practice programme has focused on developing methods for AI and data practitioners and regulators to evaluate and assess potential risks, harms and impacts of AI and data-driven technologies. This role will be expected to expand the focus of this work to develop and test methods, tools and practices for evaluating climate impacts for public and private-sector organisations.This project is made possible by a grant from the Generation Foundation. For further information about the role (including details of the outputs this role will deliver, and what a typical day could look like for you), please click here to download the full job description.About youYou are an experienced researcher or professional who may have a background researching for an academic organisation, policy department or a regulator, a tech company, research institute or charity. You are curious and passionate about the issues which arise at the intersection of technology and society, and are committed to bringing an interdisciplinary and intersectional lens to understanding them. Importantly, you’ll be comfortable taking initiative, working independently and to short deadlines at times.You’ll enjoy working in a team environment, willing to jump into projects and keen to explore areas of policy, technology and practice that you don’t already understand. You’ll appreciate the importance of high standards of rigour in research, but also want to think creatively about communicating and influencing in novel ways. How to apply The closing date for applications is 09:00AM BST on 25 April 2022, with interviews expected to take place in the first weeks of May 2022. The online application process will ask that you complete 4 questions (no more than 250-word answers for each) relating to your background, skills, and interest in this role, as well as requiring you to upload an up-to-date copy of your CV.  The Applied platform lets you save an application and resume it ahead of submitting before the application deadline.After the deadline closes, we will shortlist candidates and update you on whether your application was successful. Applicants moved to the interview stage should expect: We aim to give you at least a week's notice of an interview, which may involve preparing a presentation or completing a writing exercise.  To participate in an hour long interview (with a panel made up of Ada staff and often an external partner), with the potential for a follow-up/second round of interviews.  We strongly encourage applicants from backgrounds that are underrepresented in the research, policy and technology sectors (for example those from a marginalised community, those who did not go to university or had free school meals as a child). We are committed to tackling societal injustice and inequality through our work, and believe that all kinds of experiences and backgrounds can contribute to this mission. The Ada Lovelace Institute The Ada Lovelace Institute is an independent research institute funded and incubated by the Nuffield Foundation since 2018. Our mission is to ensure data and artificial intelligence work for people and society. We do this by building evidence and fostering rigorous debate on how data and AI affect people and society.  We recognise the power asymmetries that exist in ethical and legal debates around the development of data-driven technologies and seek to level those asymmetries by convening diverse voices and creating a shared understanding of the ethical issues arising from data and AI. Finally, we seek to define and inform good practice in the design and deployment of AI technologies.   The Institute has emerged as a leading independent voice on the ethical and societal impacts of data and AI. We have built relationships in the public, private and civil society sectors in the UK and internationally. Please find details of our work here. Our research takes an interconnected approach to issues such as power, social justice, distributional impact and climate change (read our strategy to find out more), and our team have a wide range of expertise that cuts across policy, technology, academia, industry, law and human rights.  We value diversity in background, skills, perspectives, and life experiences. As part of the Nuffield Foundation, we are a small team with the practical support of an established organisation that cares for its employees.    

SparkCognition, a global leader in artificial intelligence (AI) software solutions perfected for business, is pleased to announce it has signed a definitive agreement to acquire Integration Wizards, a leader in visual AI. Through this acquisition, SparkCognition expands its IP portfolio to include computer vision capabilities, bringing greater value to its industry solutions. The technology leverages new and diverse data sets, including CCTV feeds, drone footage, video from handheld devices, and existing camera infrastructures. The solution can be deployed in hours or days, and helps address critical problems, including safety, security, visual inspection, productivity, and situational awareness. "With advanced visual AI that can recognize complex scenes and activities we further amplify the value we deliver to our customers while leveraging existing infrastructure investments," said Amir Husain, Founder and CEO of SparkCognition.

Machine Learning is the most significant consumer of 21st-century art. Human has moved to the back of the audience. The story concerns the unlimited consumption of art by machine learning models. Art datasets are "swallowed" thoughtlessly by AI models. The generated images and compositions are pure visual cocaine for the eyes.

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