Interaction is Not Collaboration — What Human and AI Collaboration Actually Means
Interaction is Not Collaboration — What Human and AI Collaboration Actually Means
With a market size of $9.88 billion1and a revenue forecast of $62.5 billion2 in 2022, it’s evident that organizations globally are speeding ahead with AI implementation. Yet studies claim businesses are lagging in “AI maturity.”
The thing is most companies experiment with AI but struggle to embed it in their operations. Looking at some of the top use cases of AI, it’s clear they only “use” the following AI applications:
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Collaborating with AI means working together — sharing a common goal, co-managing tasks and tracking progress. It means having to integrate AI into a human workflow.
Collaboration is significant because socio-technological systems of humans and AI have the potential to accomplish complex goals, achieve superior results and continually improve by learning from each other.
AI as a Co-Worker
In a recent study on the future of work, 84% of respondents said they’d be comfortable working alongside AI, and 73% think the word “workforce” should include humans and AI.3 In fact, the study found a large number of companies have already invested in various AI technologies:
AI can process more information, detect patterns and predict outcomes more accurately than humans. Yet, the human capabilities of understanding contexts and making connections, setting goals, interpreting meaning and crafting strategy are unmatched by AI.
AI is a power tool for developing models and predicting outcomes. Knowing what to do with that information is the domain of humans. Just as humans have to program and train AI, a genuine collaboration requires humans to learn to use AI and keep learning from it continually and, in turn, guide the AI based on outcomes.
How to Make Human and AI Collaboration Successful
A joint study from MIT Sloan Management Review and Boston Consulting Group (BCG) found that organizations that utilize human-AI collaboration stand to gain the most from AI. Only about 10% of the companies that deploy AI see significant financial benefits — between 5% and 10% of their total revenue.4
That 10% of companies take a different approach to working with AI by learning alongside them.
These organizations:
The future of work report affirms this result:
Optimizing the Value of Human and AI Collaboration
Companies will have to look at AI beyond automation to derive the most financial benefits. They have to consider how to learn from and transform their organizations with the help of AI.
MIT Sloan Management Review and (BCG) report states that to create a symbiotic relationship, companies cannot just teach AI what humans already know. Human-AI systems have to function based on what a specific situation calls for and adapt to changing contexts.
The study pins down the levels of human and AI collaboration5:
Another interesting find from this study is that companies gaining the most from their AI spend 10% of their investment on algorithms, 20% on technologies and 70% on embedding the AI into their business workflow and agile ways of working. That is, successful AI collaboration requires twice as much investment in people and processes than the technology itself.
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