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One potential of AI lies not in its ability to replace human content strategy but in its capacity to enhance and augment it. This is where collaborative AI comes in. In essence, people use AI to collaborate and move quicker. Let’s explore that.
What is collaborative AI?
Collaborative AI involves humans and AI systems working closely together throughout the entire process. As Kate Bradley Chernis, CEO of Lately AI, explains on “The Business Storytelling Show:” “Collaborative AI is when humans are part of the process, training the AI, nudging it along the way.”
In a collaborative AI model, humans play a crucial role in guiding, refining, and interpreting the outputs of AI. I often do that by prompting and re-prompting AI to make updates based on what we just worked through.
The benefits of collaborative AI
One of the key benefits of collaborative AI is improved accuracy and performance. AI brings the speed. Humans bring the contextual understanding and judgment.
Research has shown that human-AI collaboration can outperform standalone AI by a factor of two to seven in terms of ROI.
Collaborative AI also enables organizations to tackle more complex problems by leveraging the complementary strengths of humans and machines. For example, in content creation, AI can help generate ideas and first drafts quickly. Human writers can then refine and polish and build on that.
Read next: Elevate your content performance: 9 habits of good writers
Building a collaborative AI workforce
Organizations need to focus on developing the right skills and mindset in their workforce to make it work.
One of the most important skills in a collaborative AI environment is the ability to interpret and analyze the outputs of AI systems. It’s also important to know how to feed it the correct source content. Employees need to understand not just what the AI is saying but why it’s saying it and how to apply that insight in a meaningful way. And how to spot mistakes.
Companies have a place to help employees develop these critical thinking and problem-solving skills. They should also foster a culture of experimentation and iteration, encouraging employees to continuously test and refine AI models.
Employees need to be trained to identify common errors and biases in AI-generated content. This may include spotting inconsistencies, factual inaccuracies, or instances where the AI may have ‘hallucinated’ or generated irrelevant information. Learning how to ask AI to prove its work and accuracy is also a skill that needs to be learned.
By learning to recognize these mistakes, employees can provide valuable feedback to improve the AI’s performance over time
Read next: Can AI replace human creativity?
The future
The opportunities of collaborative AI will only expand.
“If you think of AI as a human for a moment, it’s about three months old on the lifespan. And if you imagine a three-month-old, a three-month-old is 100% reliant upon other humans to survive and thrive.’ Just like a human infant, AI requires guidance and support from humans to develop and function properly,” said Kate.
However, realizing this potential will require ongoing investment and commitment from organizations. It will mean rethinking traditional workflows and job roles, and creating new models for human-AI interaction.
As organizations look to the future of collaborative AI, it’s essential to recognize that AI systems are still in their infancy. Kate emphasizes this point with an analogy:
“As we move forward, the success of collaborative AI will hinge on our ability to create synergies between human intelligence and machine capabilities. By designing AI systems that complement and enhance human skills, we can unlock new levels of productivity and innovation.
Ultimately, the true potential of collaborative AI lies in its ability to empower humans to achieve more than they ever thought possible
By embracing a collaborative approach to AI – one that puts human intelligence at the center – organizations can maximize the best of all worlds. They can create a future where humans and machines work together seamlessly, each amplifying the other’s strengths and compensating for the other’s weaknesses.
In this future, AI will not replace humans but empower them to achieve more than they ever thought possible. And that is the true promise of collaborative AI.
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