Why AI and Humans Are Stronger Together Than ApartThey work together to double check for errors and help augment each others' capabilities

While artificial intelligence (AI) is radically altering how work gets done and who does it, the technology's larger impact will be in augmenting human capabilities, not replacing them.

In fact, a report fromHarvard Business Reviewfound that firms achieve the most significant performance improvements when humans and machines work together. After all, what comes naturally to people—interpersonal communication, for example—can be tricky for AI, while simple AI tasks like transcribing data remains challenging for humans.

AI and humans should work together to double check for errors and help augment each others' capabilities. By integrating human talents and AI-driven functions, companies across industries can reap the benefits of AI.

The Value of Human and Machine Working Together

AI technology can boost business productivity by up to 40 per cent, according to Accenture. But while business leaders may rejoice at that fact, 72 per cent of employees fear AI stealing their jobs, Pew Research found.

However, the adoption of AI doesn't mean a wipeout of work available to humans. While some tasks may be trusted completely to AI, like the algorithms that drive recommendation engines on platforms like Netflix, Amazon, and Spotify, others are reserved for human skill only.

For instance, because AI cannot offer empathy or emotion, traits native only to humans, it likely won't have an applicable role in practice areas like psychotherapy, social work or in-depth customer service.

还有第三类的工作:是st done by humans and AI working in tandem. In the case of many tasks, AI can help get progress started, but it still requires a human to complete the job by verifying the accuracy or providing more context. These gray areas include services like accuracy checks and human interaction.

While AI may not complete such tasks perfectly on its own, there is still value in keeping AI a part of the process. The ideal AI-human arrangement is one in which AI technology drives the lower-level, repetitive processes associated with completing a task, while human oversight ensures the timely and accurate completion of that task.

AI-Human Teams in Action

So where can we see this tag-team dynamic in action? The voice transcription space serves as one example.

Quick and accurate voice-to-text technology plays an important role in the deaf and hard of hearing community, as well as the higher education and legal industries. AI can transcribe human speech much faster than humans can—in a controlled environment, that is.

But the everyday need for voice transcription doesn't always come in the form of a controlled environment. AI only hits peak accuracy when the speech mimics the kind it was trained on. We can't rely on AI alone to transcribe voice perfectly when the accent, speed, diction, and tone of the speech vary, or if background noise is present.

However, it's most efficient to give AI the first crack at it and employ the help of humans to verify accuracy and fix errors if needed. Taking this approach has enabled faster access to high-quality voice transcription than ever before.

Teams that rely on fast voice transcription are reaping the benefits of humans and AI perfecting the practice. Courts, for example, face a court reporter shortage, with an estimated 70 per cent of the workforce expected to retire over the next 10 years. AI and human-powered voice transcription will help fill in the gaps.

Students — whether deaf, hearing-impaired or with no hearing issues — all benefit from timely access to the transcriptions of course lectures. Deaf and hearing-impaired students deserve the chance to keep up with their hearing classmates, and not all hearing students learn best by listening.

While AI has earned its place it every industry, it doesn't always perform best on its own. Enlisting the help of humans brings it to its full potential and allows us all to take full advantage of a powerful technology, making a true difference in end-users' lives.