Artificial Intelligence is no longer evolving in isolation. Across the world of work, AI is increasingly interacting with robotics, extended realities, distributed ledgers, neurotechnologies, geodata, cybersecurity, biotechnology, and other emerging fields. AI+ explores the combined effect of these technologies on skills, labour markets, enterprises, policy, and learning. The event will bring together the ITCILO community and key labour market stakeholders to examine how these technological intersections are already reshaping the near future of work.

This course will introduce participants to Social and Behaviour Change (SBC) at UNICEF. SBC is defined as a set of processes, approaches, tools, strategies and tactics that promote positive and measurable changes in people’s environments, societies, and behaviours. Working with communities, individuals, and partners, SBC uses social and behavioural evidence and inclusive, participatory approaches to co-design solutions to development and humanitarian challenges. It prioritizes the fulfillment of human rights through systematic analysis of the cognitive, social and structural drivers of change and working with communities to address them.

The amazing potential and opportunity of Generative AI has also brought ethical concerns. How can you address these concerns effectively as you deploy tools and products powered by generative AI? In this course, expert Vilas Dhar equips designers and decision makers to better understand and act on the emerging ethical risks and considerations of generative artificial intelligence. Get a solid introduction to the ethical concerns around generative AI, then learn how to use a framework of ethical analysis to address these concerns. Plus, explore ways you can prepare your organization to address ethics in AI across all stakeholders from technology to C-Suite leaders.

Around one in three women worldwide experiences physical or sexual violence in their lifetimes. This stark statistic is powerful. It demonstrates the scale of the problem and the urgency of eliminating violence against women (VAW). But powerful data like this doesn’t come into being by itself; it’s the result of careful data collection and analysis around the world. In this free course