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During this innovative event, World Bank explores an internal report about 'How the Bank learns' allowing the audience to vote in real time on the top topics they want to explore using 'Poll everywhere'. We will be using this tool at the Autumn workshop.The Bank shares some thought provoking ideas on 'fast and slow thinking' and where individuals look for knowledge (video -12.15-15.15) as well as allowing participants to vote on a number of provocative statements on a five point scale, to decide choose five topics for discussion with the panel e.g. 'Drink more coffee', 'Learning from failure' and 'Taking time to reflect' (Poll results 27.30 - 30.30). Culminating in the panel discussion on the chosen topic areas including 'live questions' as the discussion develops (Panel discussion 30.30 - 1:14:00).The session is wrapped up with a final vote on the whole event (1:21:00)

Katona's work in the 1970s on 'sentiment' was pivotal in understanding consumer behaviour. For example the US Federal Reserve was hugely resistant to the idea that feelings had a part to play in economic forecasting. Katona proved that answers to questions such as 'do you believe you will be better off next year than this?' were actually better forecasters of economic performance than traditional models. Many behavioural economists now use Katona's theories.

It's not humans who are the recipients and decision makers of data and analysis, it's machines. Machines are making all or most of the decisions in areas like programmatic advertising, search engine optimization, credit approval, insurance underwriting, Internet of Things applications, and many more.

How has Mexico moved from 2 cartels in the 1970s to 9 cartels today? That is the question the Mexican website Animal Político wanted to answer when in January 2015 they started to work on NarcoData, a data journalism project that shows the evolution of 40 years of drug dealing in Mexico, home to the most violent cartels in the world.

This is a journey to explore the latest innovations in AI and, most importantly, its human element, to ultimately answer the controversial questions: What physical human characteristics and emotions must a robot have to make people react to it? And, obversely, Can AI recognize human emotions?

The conversation around AI now is too focused on the question of how AI can replace agent interaction, which is missing the point. The aim of AI shouldn't be to replace human interaction, but to improve human interaction.

Google is implementing voice activated natural language processing technology - already available across Google products like Android and Search - to all Google Analytics users over the next few weeks.

Virtual assistants get infuriating when they fail to do something we expect to be within their capabilities. Researchers are interested in studying how people form expectations about what such systems can and can't do-and how virtual assistants themselves might be designed to nudge us toward only asking things that won't lead to disappointment. One of the research questions is how do you reset a user's expectations on the fly when they're interacting with a virtual assistant.

YamJam is the name used by many Yammer networks to define a focused online discussion, where a group of people get together at the same time to share ideas, questions and views usually on a single topic. YamJams can broadly be considered like online press conferences with everyone having a voice.

Google Sheets is getting smarter. After adding the machine learning-powered "Explore" feature last year, which lets you ask natural language questions about your data, it's now expanding this feature to also automatically build charts for you. This means you can now simply ask Sheets to give you a "bar chart for fidget spinner sales" and it will automatically build one for you.

Machines, even virtual ones, have biases. They are designed, necessarily, to favour some kinds of data over others. Unfortunately, we rarely question the judgments of mathematical models and, in many cases, their biases can pervade and distort operational reality, creating unintended consequences that are hard to undo.

A fact-based worldview starts with getting the big picture right. Each of these videos answer a common fact-question about global proportions and macro trends, in less than 90 seconds.