eXplainable Artificial Intelligence (XAI) has become an active research area both for scientists and industry. XAI develops models using explanations that aim to shed light on the underlying mechanisms of AI systems, thus bringing transparency to the process. Results become more capable of being interpreted by both experts and non-expert end users alike. New research by a team of UCLA scientists is focused on boosting human trust in these increasingly common systems by greatly improving upon XAI. Their study was recently published in the journal iScience.
Search Results for: Intel
Research Highlights: Using Theory of Mind to improve Human Trust in Artificial Intelligence
March 4, 2022 by Leave a Comment
Leveraging Data Sharing and Network Intelligence to Solve AI Edge Cases
February 17, 2022 by Leave a Comment
In this special guest feature, Radha Basu, Founder and CEO of iMerit, outlines how edge cases as simple as traffic cones will continue to be autonomous vehicle technology’s biggest challenge, but solving them will require more than annotating images to train an algorithm. It will also require a combination of smarter algorithms, data sharing, and network intelligence.
2022 Trends in Semantic Technologies: Humanizing Artificial Intelligence
January 21, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses how semantic technologies and tenets are some of the most effective ways to oversee enterprise use cases of AI for natural language technologies. These capabilities have been formed by human curated knowledge, which is why the notion of human-in-the-loop is so prominent in contemporary times.
2022 Trends in Intelligent Bots: Knowledge Worker Empowerment
January 3, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses 2022 trends in intelligent bots in terms of knowledge worker empowerment. Whether in the form of Robotic Process Automation, chatbots, or some other type of digital assistants, the presence of intelligent bots is substantially increasing across the data ecosystem … in more ways than one.
Looking Beyond the Incumbent: Setting New Goals for Machine Learning & Artificial Intelligence for 2022
December 27, 2021 by Leave a Comment
In this contributed article, Patrice Simard, CEO and Co-founder of Intelus.ai, proposes an alternative for organizations of all sizes to develop more effective ways to leverage machine learning and artificial intelligence. The goal is not to disparage anyone’s approach; rather, it is to offer a framework that empowers smaller stakeholders, alongside major players seeking to innovate.
3 Ways AI Can Boost Conversational Intelligence Across Your Enterprise
December 20, 2021 by Leave a Comment
[SPONSORED POST] Artificial Intelligence can both help and scale human effort in building the conversational intelligence across the enterprise that drives successful business outcomes. In this eBook from Veritone, we will explore three common use cases of AI applied to customer conversations: contact center insights, social media insights, and conversational compliance.
Data Mining or Bust: How New Data Notebooks Enhance Contact Center Intelligence Aggregation and Analysis to Elevate the Customer Experience
December 18, 2021 by 1 Comment
In this contributed article, Tim Eyre, Chief Marketing Officer at Aceyus, discusses how managing the modern contact center involves extrapolating the most up-to-date metrics and data for companies to ensure success and enhance efficiencies. The best way to enhance data transparency is by utilizing dashboards equipped with data notebook capabilities.
Three Ways AI Can Boost Conversational Intelligence Across Your Enterprise
December 16, 2021 by Leave a Comment
Artificial Intelligence can both help and scale human effort in building the conversational intelligence across the enterprise that drives successful business outcomes. In this eBook from Veritone, we will explore three common use cases of AI applied to customer conversations: (i) contact center insights – to drive improved customer interactions and call center efficiencies; (ii) […]
From Mystery to Mastery: How to Get the Most from Artificial Intelligence
December 9, 2021 by Leave a Comment
In this special guest feature, Lloyd Humphreys, Principal Product Manager for Data & Analytics, Tradeshift, suggests that you change your mindset, forget about relinquishing complete control, and you’ll soon discover that AI can give you a competitive advantage in areas of your business you barely gave a moment’s thought to before, like the sometimes unglamorous world of invoice processing.
2022 Trends in Artificial Intelligence and Machine Learning: Reasoning Meets Learning
November 5, 2021 by 3 Comments
In this contributed article, editorial consultant Jelani Harper discusses some important trends for the next year in terms of how 2022 will usher in a surplus of use cases in which converging AI’s respective connectionist and reasoning approaches, as well as the array of learning methodologies between supervised and unsupervised learning, renders the efficiency and scope of these technologies transformational for everyday business needs.
