In this special guest feature, Pedro Alves, CEO, and Rick Saletta, Senior Marketing Executive of Ople, discuss how model transparency is an essential capability. It facilitates the jobs of a data science team, while helping bring models’ end users to better comprehension of and comfort with the decisions driven by those models. Transparent AI is an absolute requirement for a proper AI implementation within an organization, as well as the key to ensuring a more meaningful ethical perspective as AI is woven into our everyday lives.
Search Results for: ethic
Infographic: Can AI Think Ethically?
July 4, 2019 by Leave a Comment
Cities across the world are using — or banning because of concerns about bias — facial recognition technology, but is it possible for artificial intelligence to think ethically? We’ve written about the ethics of AI extensively here on insideBIGDATA. To further the conversation, the infographic below developed by our friends over at NowSourcing, Inc. outlines the roles AI can serve and how to build technology we can trust.
The AI Ethics Deficit — 94% of IT Leaders Call for More Attention to Responsible and Ethical AI Development
April 2, 2019 by 3 Comments
The results of a new study on AI ethics was released. According to research conducted by Vason Bourne on behalf of SnapLogic, studied the views and perspectives of IT decision-makers (ITDMs) across industries, asking key questions such as: who bears primary responsibility to ensure AI is developed ethically and responsibly, will global expert consortiums impact the future development of AI, and should AI be regulated and, if so, by whom?
Organizations Are Gearing Up for More Ethical and Responsible Use of AI, Finds Study
September 27, 2018 by Leave a Comment
A new study shows that business leaders are taking steps to ensure responsible use of artificial intelligence (AI) within their organizations. Most AI adopters – which now account for 72 percent of organizations globally – conduct ethics training for their technologists (70 percent) and have ethics committees in place to review the use of AI (63 percent).
Ethics and the Pursuit of AI
September 15, 2018 by Leave a Comment
In this contributed article, marketing specialist Sophie Ross discusses the center-stage question: What are the ethical implications of artificial intelligence and its applications? She suggests that there has to be a balanced approach to any technology. Humans should have ultimate control over the use, misuse and abuse of the technology so that the ultimate accountability can be fixed for any excesses.
AI Ethics and The New Digital Divide
June 20, 2018 by Leave a Comment
In this contributed article, Paulo Malvar, Chief Computational Scientist at Codeq LLC, advises that the entire AI field needs to engage in serious conversations around the ethics of the products we create or we’ll face the consequences. Another AI Winter is very possible, but this time it wouldn’t be triggered by our over-promises, but by society’s perception of us and our creations.
Leveraging Big Data for Enhanced Cybersecurity Solutions
May 3, 2024 by Leave a Comment
In this contributed article, Alexander Norell of VikingCloud explores how big data analytics can significantly improve cybersecurity strategies by enabling more accurate threat detection and real-time response capabilities.
In 2024, Data Quality and AI Will Open New Doors
May 1, 2024 by Leave a Comment
In this contributed article, Stephany Lapierre, Founder and CEO of Tealbook, discusses how AI can help streamline procurement processes, reduce costs and improve supplier management, while also addressing common concerns and challenges related to AI implementation like data privacy, ethical considerations and the need for human oversight.
Why Integration Data is Critical for Powering SaaS Platforms’ AI Features
April 29, 2024 by Leave a Comment
In this contributed article, Gil Feig, co-founder and CTO of Merge, discusses how integration data can support AI features and why without successful product integrations, successful AI companies would not exist.
Heard on the Street – 4/25/2024
April 25, 2024 by Leave a Comment
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
