Rapid advances in the development and adoption of artificial intelligence (AI) technologies provide new opportunities but also raise fears about disruptive labour market and workplace transitions. This working paper examines how social dialogue can shape the AI transition in beneficial ways for both workers and firms. It highlights that social dialogue can generally help foster inclusive labour markets and ease technological transitions, and presents new descriptive evidence together with ongoing initiatives from social partners showing that social dialogue has an important role to play in the AI transition as well. The paper also discusses how AI adoption may affect social dialogue itself, e.g. by adding new pressures on weakening labour relations systems and posing practical challenges to social partners, such as insufficient AI-related expertise and resources to respond to the AI transition. Based on these insights, the paper suggests a few measures for policy makers who would like to support social partners' efforts in shaping the AI transition.

On February 18, Baidu released the 2020 full year and Q4 financial report, presenting revenue of RMB 107.1 Billion, and its net profit of RMB 22 billion. Formerly constrained by decline in advertising revenue, the company has re-emerged as fierce competitor in the field of AI, spearheaded with three major applications of DuerOS voice technology platform, Apollo autonomous driving open platform and Baidu Smart Cloud powered by Baidu Brain 5.0. In the financial report, the company scrapped its positioning as an "Internet platform centred on search engines, knowledge, and information" and replaced it with "AI ecosystem company." One month prior to the number release, Baidu had announced the establishment of a smart car subsidiary and reached a strategic cooperation with Chinese automotive giant Geely Group. We know you don't want to miss any news or research breakthroughs.

AI is poised to deliver measurable value for a variety of public and private sector applications, and is just beginning to make inroads in the enterprise. This article offers best practices for picking an AI use case, points out barriers to AI success, and advises on how to find the best AI talent. Artificial intelligence (AI) technology dominates the headlines, but it's still not widely used. According to Gartner, between 2018 and 2019, the number of organizations deploying AI grew to just 14 percent. This may lead some enterprises to wonder, is the transition to AI necessary?

As artificial intelligence (AI) takes hold in the workplace, both employers and employees believe it will benefit the enterprise and help workers to be more productive. In fact, 93% of employees would be willing to take instructions from a robot, according to a new study Oracle conducted together with Future Workplace. That's not surprising, when you consider that employees encounter AI all the time as consumers. Most people today have no problem following the route our navigation app chooses or asking Siri or Alexa to put together a music playlist. Employees are ready for that kind of experience to appear in the workplace.

In the past fifteen years artificial intelligence has changed from being the preoccupation of a handful of scientists to a thriving enterprise that has captured the imagination of world leaders and ordinary citizens alike. While corporate and government officials organize new projects whose potential impact is widespread, to date few people have been more affected by the transition than those already in the field. I review here some aspects of this transition, and pose some issues that it raises for AI researchers, developers, and leaders.