{"id":25812,"date":"2022-09-30T10:51:12","date_gmt":"2022-09-30T09:51:12","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=25812"},"modified":"2022-09-30T10:51:12","modified_gmt":"2022-09-30T09:51:12","slug":"the-importance-of-trustworthy-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/the-importance-of-trustworthy-artificial-intelligence\/25812\/","title":{"rendered":"The importance of trustworthy Artificial Intelligence"},"content":{"rendered":"
Artificial Intelligence (AI) is having an increasing presence in our everyday lives, and this is believed to be only the beginning. For this to continue, however, it must be ensured that AI is trustworthy in all scenarios. To assist in this endeavour, Link\u00f6ping University (LiU) is co-ordinating TAILOR, an EU project that has developed a research-based roadmap intended to guide research funding bodies and decision-makers towards the trustworthy AI of the future. \u2018TAILOR\u2019 is an abbreviation of Foundations of Trustworthy AI \u2013 integrating, learning, optimisation, and reasoning.<\/span>\u00a0<\/span><\/p>\n Funded by EU Horizon 2020, TAILOR is one of six research projects created to develop the AI of the future. TAILOR is drawing up the foundation of trustworthy AI, by producing a framework, guidelines, and a specification of the needs of the AI research community.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n The roadmap presented by the project is the first step on the way to standardisation, where decision-makers and research funding bodies can gain an understanding of the development of trustworthy AI. Research problems must be solved, however, before this can be achieved.\u00a0<\/span>\u00a0<\/span><\/p>\n Fredrik Heintz, Professor of Artificial Intelligence at LiU, and co-ordinator of the TAILOR project, emphasised the importance of trustworthy AI, explaining: \u201cThe development of Artificial Intelligence is in its infancy. When we look back at what we are doing today in 50 years, we will find it pretty primitive. In other words, most of the field remains to be discovered. That’s why it\u2019s important to lay the foundation of trustworthy AI now.\u201d<\/span>\u00a0<\/span><\/p>\nAbout the TAILOR project<\/h3>\n