AI Tech, General AI

Embracing Ethical AI

September 2, 2022

Embracing Ethical AI
The past several years brought about an abundance of change in how we as individuals, organizations, and a society approach daily life. Our views on ethics are evolving and our sense of acting with purpose is increasing – and  as part of that, diversity, equity, and inclusion have become top corporate  and personal objectives. Consumers are asking the brands they engage with  for more transparency and are tasking them to act in ways that are fair and  respectful to all stakeholders: suppliers, employees, prospects, and anyone else who interacts with the brand.

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OTHER WHITEPAPERS
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China’s Advanced AI Research

whitePaper | July 29, 2022

China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in one or more of this project‘s aspects, including machine learning, brain-inspired AI, and brain-computer interfaces. This report previews a CSET pilot program that will track China’s progress and provide timely alerts.

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The Generative AI Revolution

whitePaper | May 12, 2023

Onward’s mission is to develop bold and practical ideas to boost economic opportunity, build national resilience, and strengthen communities across all parts of the United Kingdom. Our vision is to address the needs of the whole country: young and old, urban and rural, for all communities across the UK – particularly places that have too often felt neglected or ignored by Westminster. We believe in an optimistic conservatism that is truly national – one that recognises the value of markets, supported by a streamlined state that is active not absent. We are unapologetic about standing up to vested interests, putting power closer to people, and supporting the hardworking and aspirational.

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Understanding the Dynamics of artificial intelligence in Intellectual Property.

whitePaper | November 30, 2019

The report on “Understanding the Dynamics of Artificial Intelligence in Intellectual Property” prepared by the Tata Consultancy Services in close association with the Confederation of Indian Industry (CII) captures global developments, practices of various intellectual property offices of the world, technology landscape and research outlook. This publication on IPR would provide useful information to educational & research institutions and industries doing research in this area and fill up gaps for moving forward. CII firmly believes that IPR should be at the centre stage in competing in the world of artificial intelligence in a meaningful manner. The report highlights an important recommendation that, “With evolution of new technology, it is essential to have change in the IP creation and protection ecosystem by mechanisms to develop new doctrines for new technologies, modifying the existing system to accommodate this new change and reshaping of new policies for enforcement of IPRs”.

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Towards the engineering of trustworthy AI applications for critical systems

whitePaper | October 26, 2022

An accident that will leave its mark. Yesterday morning, Mrs. D., an employee of the Pharma4.0 factory in Valenciennes, had her right wrist broken by an InCobot handling robot during an ordinary operation that until now had never caused any problems. In this factory, the operation called “pick and place” of cough syrup bottles is performed jointly by human operators and robotic arms in the same work area, and this on many stations.

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ACCELERATE DEEP LEARNING WITH A MODERN DATA PLATFORM

whitePaper | February 17, 2022

Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.

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A Taxonomy of Trustworthiness for Artificial Intelligence

whitePaper | January 11, 2023

Improving the trustworthiness of artificial intelligence (AI) systems is a shared priority for the private and public sectors, as indicated by prolific research and guidelines in recent years.

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