2 Core Reasons the Future of AI is Collaborative

AI is becoming increasingly widespread, affecting all facets of society — even Sonic drive-ins are planning to implement artificial intelligence to provide better customer service.

Of course, every time a new innovation appears in the realm of AI, fears arise regarding its potential to replace human jobs. While this is a reality of adapting to a more tech-driven society, these fears tend to ignore the collaborative and job-creating attributes that AI will have in the future.

The future’s most successful businesses will be those that learn to combine the best attributes of machines and human workers to achieve new levels of efficiency and innovation. In reality, the future of AI will be largely dependent on collaboration with living, breathing human beings – for two core reasons. 

1. AI augmenting human performance

In most business settings, AI does not have the ability to make crucial decisions. However, it does have the power to provide greater insights and support to ensure that you make the right decisions faster.

Simply put, there are many tasks that AI can perform faster and more efficiently than humans. It is estimated that we produce 2.5 quintillion bytes of data per day. While individual businesses only produce a tiny fraction of that total, there is no denying that trying to analyze data points drawn from diverse areas such as logistics, marketing and corporate software programs is becoming increasingly difficult.

2. People will help machines

The future doesn’t merely entail AI streamlining everyday tasks or helping us do our jobs better. AI is only possible thanks to human ingenuity, and that trend isn’t going away anytime soon. Future innovations and improvements will be largely dependent on what people are able to produce.

This is especially apparent in virtual assistants such as Alexa or Siri. Alexa’s recent introduction of speech normalization AI has been found to reduce errors by 81 percent, but these results were only achieved after researchers provided training using a public data set containing 500,000 samples. Similar processes have also been used to give these virtual assistants their own distinct personalities.

To read Jordan French’s full article on the collaborative future of AI, click here. 

 
 

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