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DOJ warns AI hiring and productivity tools can violate anti-discrimination law

Engadget

Federal agencies are the latest to alert companies to potential bias in AI recruiting tools. As the AP notes, the Justice Department and Equal Employment Opportunity Commission (EEOC) have warned employers that AI hiring and productivity systems can violate the Americans with Disabilities Act. These technologies might discriminate against people with disabilities by unfairly ruling out job candidates, applying incorrect performance monitoring, asking for illegal sensitive info or limiting pay raises and promotions. Accordingly, the government bodies have released documents (DOJ, EEOC) outlining the ADA's requirements and offering help to improve the fairness of workplace AI systems. Businesses should ensure their AI allows for reasonable accommodations.They should also consider how any of their automated tools might affect people with various disabilities.



Text Summarization with GPT2 and Layer AI

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The Transformer soon became the most popular model in NLP after its debut in the famous article Attention Is All You Need in 2017. The capacity to analyze text in a non-sequential manner (as opposed to RNNs) enabled large models to be trained. The introduction of an attention mechanism proved tremendously valuable in generalizing text. Before the advent of Deep Learning, previous approaches to NLP were more rule-based, with simpler (pure statistical) machine learning algorithms being taught the words and phrases to look for in the text, and particular replies being created when these phrases were discovered. Following the publication of the study, numerous popular transformers emerged, the most well-known of which is GPT (Generative Pre-trained Transformer).


How Artificial Intelligence is Changing the Future Landscape of Digital Marketing?

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Bangalore Chamber of Industry & Commerce (BCIC) & Brigade Foundation collaborate to set up'Brigade- BCIC Skill Development Academy' AI will likely change the face of digital marketing in the future. It's less about what's going on right now and more about how trends are likely to emerge in the coming years. The power of artificial intelligence (AI) to open up exciting new possibilities in the field of digital marketing business. There are a host of different methods, tactics, and productivity gains under the AI wing. As AI becomes more available, agencies can now use it to analyze data, forecast future trends, and improve their brand's performance.


Tidio raises $25M to automate customer service interactions – TechCrunch

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During the pandemic especially, it's become overwhelming for small- and medium-sized businesses (SMBs) to answer all of their customer service requests. A Freshworks survey found that companies experienced a 71% increase in overall contact volume between February 2020 and January 2021, and expect it to increase further. At the same time, customers -- while empathetic -- have become more demanding. The same poll shows that 68% of customer service managers have seen an increase in customer expectations. What's a company to do? Automation is one route to more manageable customer experience workloads, potentially.


DeepMind's new AI system can perform over 600 tasks – TechCrunch

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The ultimate achievement to some in the AI industry is creating a system with artificial general intelligence (AGI), or the ability to understand and learn any task that a human can. Long relegated to the domain of science fiction, it's been suggested that AGI would bring about systems with the ability to reason, plan, learn, represent knowledge, and communicate in natural language. Not every expert is convinced that AGI is a realistic goal -- or even possible. Gato is what DeepMind describes as a "general-purpose" system, a system that can be taught to perform many different types of tasks. Researchers at DeepMind trained Gato to complete 604, to be exact, including captioning images, engaging in dialogue, stacking blocks with a real robot arm, and playing Atari games. Jack Hessel, a research scientist at the Allen Institute for AI, points out that a single AI system that can solve many tasks isn't new.


Predicting Others' Behavior on the Road With Artificial Intelligence

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Researchers have created a machine-learning system that efficiently predicts the future trajectories of multiple road users, like drivers, cyclists, and pedestrians, which could enable an autonomous vehicle to more safely navigate city streets. If a robot is going to navigate a vehicle safely through downtown Boston, it must be able to predict what nearby drivers, cyclists, and pedestrians are going to do next. A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, pedestrians, and cyclists in real-time. Humans may be one of the biggest roadblocks to fully autonomous vehicles operating on city streets. If a robot is going to navigate a vehicle safely through downtown Boston, it must be able to predict what nearby drivers, pedestrians, and cyclists are going to do next.


5 Trends in Medical Health Technology in 2022

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It is predicted that technologies such as artificial intelligence (AI), cloud computing, extended reality and the Internet of Things (IoT) will be introduced further among related workers, leading to the development and provision of new and better treatments and services. In the months following the outbreak of the COVID-19 outbreak, the proportion of telemedicine consulting has risen sharply from 0.1% to 43.5%, and is expected to rise further in the future, as this trend could save more patients' lives, said Deloitte Accounting Firm analyst. . To achieve this goal, the next-generation portable device, heart rate, stress, and blood oximetry, enables doctors to accurately determine the patient's condition in real time. During the COVID-19 period, doctors built'virtual hospital rooms' in some areas to observe the treatment status of patients in various areas through the central communication infrastructure. The Pennsylvania Emergency Medical Center is developing a high-quality'virtual emergency room'.


Launch of a new standard for AI security in Singapore

AIHub

The adoption of artificial intelligence (AI) in various applications, from self-driving autonomous vehicles to AI-assisted medical diagnoses, has accelerated in recent years. From 2018 to 2020, there was a five-fold increase globally in the percentage of organisations deploying AI. While the adoption of AI brings numerous benefits, cybersecurity threats such as hacking pose a significant threat to AI systems, especially in applications where hackers may gain access to confidential information or cause automated systems to malfunction. Answering the call to protect the integrity of AI programmes and create trust in AI solutions, a team of NTU researchers and AI leaders has launched a new standard on AI security. Unveiled on 16 March 2022 at the Al Security Standard Launch Singapore TR 99:2021 Growth opportunities for government & industry adopting trustworthy Al, and published by Enterprise Singapore's Standards Consortium, the standard was developed from research led by NTU scientists Prof Liu Yang of NTU's School of Computer Science and Engineering, former research fellow Dr Xiaofei Xie and PhD candidate Mr David Berend.


The Future of Data Science and Machine Learning at Enterprise Scale - Qubole

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Data Science, Artificial Intelligence, Analytics, and Machine Learning at the Enterprise scale are terms you've probably heard before. But what do they mean? We break it down for you in this blog. So, What Is Data Science? Data Science is a series of disciplines, technology, skills, expertise, and knowledge that encompass one thing: obtaining and preparing data for analysis.