Ten Problems for Artificial Intelligence in the 2020s – TenProblems.com

A briefing from the European Parliament [1] provides accessible introductions to some of the key techniques that come under the Artificial Intelligence banner, grouped into three sections to give a sense the chronology of its development. The first describes early techniques, described as'symbolic AI' while the second focuses on the'data driven' approaches that currently dominate, and the third looks towards possible future developments. By explaining what is'deep' about deep learning and showing that AI is more maths than magic, the briefing aims to equip the reader with the understanding they need to engage in clear-headed reflection about AI's opportunities and challenges. In 2019, community groups, researchers, policymakers, and workers demanded a halt to risky and dangerous AI. AI Now's 2019 report [2] spotlights these growing movements, examining the coalitions involved and the research, arguments, and tactics used.