Scroll
We’ve all heard the term Artificial Intelligence (AI) at one point in our lives. A little over 20 years ago, the topic hit the headlines – thanks to an unusual game of chess…
In 1997, chess grandmaster Gary Kasparow was defeated by the supercomputer Deep Blue.
Not surprisingly, the result raised questions about whether we – as humans – should be wary of AI, or if we should actually embrace the defeat and learn from it.
Kasparow chose the latter – establishing a new form of chess, where human and machine stopped competing and started collaborating. He named this new hybrid approach Advanced Chess.
Kasparow quickly realized that by working together, the performance of both human and machine greatly improved, when compared to their individual performances.
It became clear that AI can only ever reach its full potential, when teamed up with a human counterpart.
A US government-funded study, examining the ability of computer systems to diagnose breast cancer via MRI scans, discovered that…
7,5 %
of error rates came from AI systems
3,5 %
of error rates came from leading physicians
0,5 %
error rates were achieved when physicians and AI worked together
AI already influences many different aspects of working life – including medical diagnostics, where its role is rapidly growing in importance.
Smart algorithms will act as virtual assistants – reducing the time humans spend on routine tasks like data analysis and information processing.
Andreas Steinle
CEO Future Institute Workshop GmbH & Curiosity Council Member
My Vision for Artificial Intelligence
AI is often seen as a threat – replacing humans in the workplace with machines. However, AI can actually drive innovation and is likely to create new jobs rather than take them away. And while humans can’t keep up with its raw analytical power, AI relies on us to define its algorithms and tell it what to look for. The future of work lies in the collaborative power of humans and machines – working together.
Source: CAMELYON16. ISBI challenge on cancer metastasis detection in lymph node (2016).
