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A collection of useful Slides & Quotes on AI-Ethics and XAI

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The ethics of artificial intelligence is part of the ethics of technology specific to robots and other artificially intelligent beings. It is typically divided into robo-ethics, a concern with the moral behavior of humans as they design, construct, use and treat artificially intelligent beings, and machine ethics, which is concerned with the moral behavior of artificial moral agents (AMAs). Algorithmic bias describes systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. Bias can emerge due to many factors, including but not limited to the design of the algorithm or the unintended or unanticipated use or decisions relating to the way data is coded, collected, selected, or used to train the algorithm. Algorithmic bias is found across platforms, including but not limited to search engine results and social media platforms, and can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity.


Bluware Signs New Agreement with BP to Support Innovative Deep Learning Workflow in Subsurface Data Interpretation

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Bluware Corp, the digital innovation platform that enables the oil and gas industry to accelerate digital transformation initiatives using deep learning, is pleased to announce a new agreement with BP (NYSE: BP). Bluware's technology will help BP to improve quality and speed when delivering seismic interpretation products. "BP recognizes the significant impact advances in digital technology can bring and we are pleased to implement Bluware InteractivAI, a new and innovative deep learning technology, augmenting our geoscientists' ability to accelerate subsurface data interpretation," says Ahmed Hashmi, Upstream Chief Digital and Technology Officer at BP. Large seismic data sets are difficult to move and use in workflows and time consuming to interpret. InteractivAI, powered by Bluware Volume Data Store (VDS) cloud-native data environment, enables the acceleration of detailed interpretation tasks. With this tool geoscientists can now train and correct deep learning results interactively, significantly improving structural interpretation workflows.


Top industries AI is impacting in 2020

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Artificial Intelligence (AI) is changing the world. Many industries have already been impacted by the integration of AI technology to improve business processes, but that's only the beginning. Through the use of big data, machine learning, and the Internet of Things (IoT), AI captures the ability to think and make decisions like a human would -- but on a massive scale. Correspondingly, this technology has found a use in almost every sector of industry. Education, healthcare, human resources, marketing, and supply chain management have changed and continue to develop through the use of AI technology.


How Artificial Intelligence can transform digital marketing in India

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Artificial Intelligence has transformed the digital landscape, such as Google's RankBrain personalising recommendations by Amazon. Artificial Intelligence (AI) is rapidly becoming essential in the day-to-day happenings of the digital world, with marketing and advertising being no exception. The idea of AI may bring to mind 60's sci-fi with futuristic robots, but it's really about so much more. With proper understanding and analysis of data and input, AI is playing a crucial role in identifying marketing trends. Brands and marketers are incorporating Machine Learning and Artificial Intelligence to save time and resources.


MIM Software Inc. Receives FDA 510(k) Clearance for Deep Learning

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MIM Software Inc., a leading global provider of medical imaging software, announced it has received 510(k) clearance from the US Food and Drug Administration (FDA) for its deep learning auto-contouring software, Contour ProtégéAI . Contour ProtégéAI is an auto-contouring solution that seamlessly integrates into any department's workflow and can be rapidly implemented into virtually any environment. User feedback and a determination to continuously improve auto-segmentation were key drivers in developing the product. "Our customers are under continual pressure to improve their practices while facing escalating time constraints," said Andrew Nelson, Chief Executive Officer of MIM Software Inc. "Our deep learning auto-segmentation product, Contour ProtégéAI, will play a critical role in reducing the burden of contouring." Auto-contouring is an ideal use case for deep learning algorithms because it is one of the most time-consuming clinical tasks.


Artificial Intelligence in the Law Industry

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Being such an immensely powerful sector, the legal field is definitely not exempt from the power of technology now paving its way steadily across all its areas. The advancement of technology in the law field has definitely led to an evolution in the operations of the legal professionals. As legal operations become increasingly automated, this has propelled legal professionals such as lawyers and paralegals to acquire proficiency in operations such as word processing, telecommunications, presenting data, and so on. Law technology has touched every part of the legal field, be it law firms and corporate practices to courtroom operations and handling of documents. Advancing technologies like artificial intelligence enable modern software to go through legal documents, simplify communications as well as discover suitable casework for law professionals.


Artificial Intelligence, from threat to solution in a post-Covid world - La Prensa Latina Media

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Technology and artificial intelligence which were previously seen as a threat are now part of the solution to problems created by the coronavirus pandemic, according to technology analyst Josep Lluís Micó. La revolución digital en la época del coronavirus in its original Spanish title), tells Efe that digital change has been accelerated exponentially by Covid-19, which has posed a major challenge for science, shaken the most advanced economies and turned everyone's lives upside down. QUESTION: What do you think about the European Union's attitude towards AI before the pandemic? It was planning to limit its activity in areas such as health. Do you think that scenario will be affected by the pandemic?


How can we use tools from signal processing to understand better neural networks?

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Deep neural networks achieve state-of-the-art performance in many domains in signal processing. The main practice is getting pairs of examples, input, and its desired output, and then training a network to produce the same outputs with the goal that it will learn how to generalize also to new unseen data, which is indeed the case in many scenarios.


Healthcare Innovation: Tackling it head-on

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Healthcare is on the brink of revolution, owing to the rapid industrialisation of medicine. We are not talking about'global challenges', but far from meeting them. Healthcare is very splintered across the geography that it would be impractical to implement "technological advances" without giving due cognisance to socio-cultural issues. I find it surprising, because investors' "money (either in the form of grants or venture capital) can be better used by working on modest goals, thereby scaling them. Academia is highly risked averse in several ways; grant committees find it easier for a group think and there's no funding of a breakout idea.


Testing Firefox more efficiently with machine learning – Mozilla Hacks - the Web developer blog

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A browser is an incredibly complex piece of software. With such enormous complexity, the only way to maintain a rapid pace of development is through an extensive CI system that can give developers confidence that their changes won't introduce bugs. Given the scale of our CI, we're always looking for ways to reduce load while maintaining a high standard of product quality. We wondered if we could use machine learning to reach a higher degree of efficiency. At Mozilla we have around 50,000 unique test files. Each contain many test functions.