Maximizing AI Effectiveness: Managing Human and Machine Collaborations
The current environment with a shortage of labour, inflation and potential recession has made efficiency, cost and resilience the top priorities for executives. A way towards making progress across the board is offered through automation of organization. But to avail these benefits, executives are required to reimagine their operating models and process to integrate machines. Companies should take a look and discuss how to apply this technology.
There are plenty of workers who believe that artificial intelligence will replace them. This mind set blocks them from seizing opportunities. It also shows that there is no any chance for us to play a vital role in shaping it into something positive.
In 1997, Gary Kasparov was defeated by the IBM chess computer Deep Blue. He helped in the invention of freestyle chess in which players can use computers during games. This combination of human intuition and creativity with the enormous calculating power of computers to create a daunting competitor.
Companies now have the opportunity to innovate and perform by building teams augmenting human abilities instead of replacing humans. Human and artificial intelligence both can be taken into consideration and they should think about how they can hardness the power of humans as well as machines in order to solve complex problems.
Artificial intelligence image classification systems are outperforming human doctors by spotting cancers and other pathologies as they are being trained on millions of images. But doctors have no any danger of losing their jobs despite the machines quantitatively better performance. A machine cannot be trusted to make a diagnosis by itself. By trusting machine for rigorous diagnostic and research supports, doctors can spend more time in designing treatment regimens and nurturing doctor patient relationship.
Modern machine super powers have fast and accurate computation. Companies have now designed and planned and are executing for machine and human qualities to become complementary, rather oppositional.
Organizations are adopting the goals of creation of intellectual division of labour which distributes processing power and build a culture which incorporates a collaborative and trustworthy hybrid intelligence.
Leaders should seek a deeper understanding of needs and goals as well as a holistic view of opportunities available through interaction. A supportive environment can be established by considering the intersection of humans and machines. Leaders can redesign work environment for teams inhabited by data, machines and people. Rethinking the norms to foster inclusivity and trust among people and machines. They can help machines to interpret human movements, mood and thought and respond to them with appropriate feedback and information. Provide training and encourage experimentations for leaders and teams to learn and share experiences to build trust. Identify new opportunities for human machine interaction.
Artificial intelligence can be programmed to surpass humans at recognizing empathy and emotions, but it will be more difficult to grant AI the ability to act on information to connect with humans.
Collaboration and inclusion to machines and organizations can spark new thinking and discussion of these issues and making them influence to drive out positive outcomes.
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