The Future of Crowdsourcing: Where A.I. meets shared insight
The connectivity of the digital age has enabled crowdsourcing and idea management platforms to grow their expert networks and engage more minds in fast-tracking innovation and solving problems. But for crowdsourcing to fulfil its potential we need to go beyond idea management to build a global insight community, through which we become collectively more insightful.
So what's next?
The future of crowdsourcing lies in thinking bigger. How can we utilise digital technology to engage more minds and have a bigger impact on the complex issues we face? At Mindhive we believe by enriching collective human intelligence with artificial intelligence, we can become more insightful and make more insightful decisions.
First step is to support member engagement through sophisticated matchmaking. Crowdsourcing is built on the premise that the best answers can come from the strangest places, and thought leaders should be recommended not just on their formal qualifications or CV, but also by the value of their strategic thinking and insight.
Second step is to use AI to identify trends and opportunities in discussion threads through sentiment and keyword analysis. This makes crowdsourcing a viable option for smaller organisations, by reducing the resources needed to harness the insights of the community. By suggesting insights or topics for the discussion leader to pursue, it also overcomes the very real trap of confirmation bias that prevents us from truly innovating our thinking or institutions. Explore 24 cognitive biases that distort our thinking in this infographic shared by the world economic forum.
The ultimate goal is predictive insight. How can we combine the wisdom of human and artificial intelligence to find solutions faster, more effectively and collectively achieve positive impact at scale.
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Mindhive is used in research, government, community groups and consultancies to canvas a wide spectrum of voices to surface sentiment, insight, and the unexpected.