The advent of Artificial Intelligence is expected to imply profound changes in the short-term. It is therefore imperative for Academia, and particularly for the Computer Science scope, to develop cross-disciplinary tools that bond AI developments to their social dimension. To this aim, we introduce the Challenge-Device-Synthesis methodology (CDS), in which a specific challenge is presented to the students of AI, who are required to develop a device as a solution for the challenge. The device becomes the object of study for the different dimensions of social transformation, and the conclusions addressed by the students during the discussion around the device are presented in a synthesis piece in the shape of a 10-page scientific paper. The latter is evaluated taking into account both the depth of analysis and the level to which it genuinely reflects the social transformations associated with the proposed AI-based device. We provide data obtained during the pilot for the implementation phase of CDS within the subject of Social Innovation, a 6-ECTS subject from the 6th semester of the Degree of Artificial Intelligence, UAB-Barcelona. We provide details on temporalisation, task distribution, methodological tools used and assessment delivery procedure, as well as qualitative analysis of the results obtained.

One of the defining aspects of COVID-19 is its disproportionate impact on underserved communities and the harsh spotlight it shines on existing social equity issues around the world. From access to quality education, jobs or affordable healthcare, COVID-19 is magnifying virtually every inequality in our communities. Never has there been a more important time to capture the moment to create the solutions the world needs to make a positive and lasting contribution to the social inequity issues of our generation. Solutions will come from all corners and technology innovators will need to play their part. Building on Microsoft's long-standing efforts to ensure technology fulfills its promise to address the world's biggest challenges, Microsoft joined efforts with Giving Tech Labs to unleash the power of public interest technology.

One of the defining aspects of COVID-19 is its disproportionate impact on underserved communities and the harsh spotlight it shines on existing social equity issues around the world. From access to quality education, jobs or affordable healthcare, COVID-19 is magnifying virtually every inequality in our communities. Never has there been a more important time to capture the moment to create the solutions the world needs to make a positive and lasting contribution to the social inequity issues of our generation. Solutions will come from all corners and technology innovators will need to play their part. Building on Microsoft's long-standing efforts to ensure technology fulfills its promise to address the world's biggest challenges, Microsoft joined efforts with Giving Tech Labs to unleash the power of public interest technology.

By 2025 about 48% of all job opportunities in Europe will need to be filled by people with qualifications beyond high school level. Indeed we don't even need to look so far ahead into the future. Currently, skills among the EU's workforce fall about one-fifth short of what is needed for workers to carry out their jobs at their highest productivity level. A sizeable share of the EU workforce – four in 10 adult employees – feel that their skills are underutilised while about four in 10 EU employers struggle to find the right skills when recruiting[1]. The skills gap has a significant economic impact on both workers and businesses.

Adidas has ramped up interest in its recently launched female-focused community space Studio LDN, by using a chatbot to create an interactive booking process. The studio, which opened earlier this year, offers a series of weekly free-to-attend fitness sessions especially for women, with the ultimate goal of boosting brand engagement. The Facebook Messenger chatbot, created by marketing technology agency Byte London, is the only way to find out about sessions and register, so it has been integral to driving awareness and the success of the initiative. "One of the main appeals of a chatbot was that it allows for ongoing, deeper engagement with our consumers through regular one-to-one conversations," Sarah Gower, managing editor at Adidas London Newsroom, tells Marketing Week. "It also offers agility in a fast-paced social landscape with new broadcasts being published weekly."

The world is on the brink of the fourth industrial revolution, and it could change the way we use everything from cars to shoes. The first three industrial revolutions brought us mechanisation, mass production and automation. Now, more than half a century after the first robots worked on production lines, artificial intelligence (AI) and machine learning are shaking things up again. "Industry 4.0" uses technologies such as the internet of things to make manufacturing "smarter" – allowing companies to revolutionise the way they make and ship goods. "Manufacturing is becoming less about muscle and more about brains," says Greg Kinsey, vice president of Hitachi Insight Group.

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Shawn Rickenbacker teaches Humans Machines, a Social Innovation and Social Entrepreneurship course. An architect, he is a Taylor Senior Fellow and Favrot Visiting Chair. Artificial intelligence is at most people's fingertips everyday. But we may not understand its implications and complexities. "When you speak to Apple's Siri or Amazon's Alexa to retrieve info, or use Facebook, you're actually engaging with artificial intelligence," said Shawn Rickenbacker, a Taylor Senior Fellow at the Phyllis Taylor Center for Social Innovation and Design Thinking and Favrot Visiting Chair in the Tulane School of Architecture.