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‘AI is a superb mimic and quick learner’ – 25 quotes of the week on creativity, innovation and technology >

- by Madanmohan Rao [August 17, 2023]

WordSparks (‘words that spark change’) is a weekly feature from, featuring quotes from media around the world on creativity, innovation and technology (see our earlier compilation here). Share these gems and insights with your colleagues and networks, and stay tuned here for our next edition!

It is the imperfection and the exploration of endless attempts that birth a masterpiece, rather than the mere stroke of luck on the first try.

Restrictions are often useful to creativity.

Creativity is not magic. It is analytical work.

Key human-centric skills include curiosity, creativity, critical thinking, compassion and collaboration.

Although it is maybe far-fetched to talk about AI as creative or imaginative, the melding of images from different sources, with large elements of the random, closely approximates some aspects of the creative process.

If we ask the right questions, AI is going to give us significant answers.

Used correctly, AI can actually help us preserve and protect copyright — versus the present fear of usurping it.

By comprehending the underlying mechanisms of the AI and scrutinizing the degree of transformation of the generated content, a more informed determination can be made regarding its eligibility for copyright protection.

A new canvas of imagination is being unleashed by Large Language Models (LLMs).

AI is a superb mimic and quick learner.

What I love about [AI] is that while we think we’re training it, it’s actually training us.

When you train different AI tools together, that’s where things get really interesting and really powerful.

Ethical considerations must be at the forefront of any AI strategy. This includes ensuring that AI is used responsibly and transparently, with clear guidelines and oversight.

The consequences of AI’s current impact are observable in numerous issues, including algorithmic discrimination, the spread of disinformation, economic disparities, and environmental repercussions. Urgent solutions are required to address these challenges.

Literacy and numeracy remain fundamental, but now we must add AI literacy.

Here’s what folks should be concerned about: losing their job not to AI, but to someone who knows how to fully leverage it.

Based on how development and design teams have been adjusting to LLM tools, it’s a sure bet these tools will make the agile software design lifecycle twice as productive.

The most groundbreaking results in this [marketing] industry have always emerged from the fusion of creativity and technology, and the generative AI era will be no exception.

The closer you look at great art, the more you realize that parts of it cannot be entirely explained or predicted. This is especially true for comedy.

When you hear those compositions by AI, they lack surprise, emotion, and even silence.

Technology, as both disruption and ultimately advancement, is at the very crux of the music industry and has been for hundreds of years.

Large language AI models are innately derivative; the greater their influence the more uniform our television, film and books may become.

Creative homogeny is a risk. Just the notion that if everybody’s using the same models, then everything’s going to look the same.

In many boardrooms, executives are debating overwhelming lists of potential generative AI investments, only to deem them incomplete or outdated given the dizzying pace of innovation.

AI may struggle to make sense of broken processes. But when you hand it something that functions as is, it goes to work to automate and optimize.

Innovation is increasingly driven by data.

Data is pervasive today, and CIOs have a task to make organizations AI-first or AI-powered.

Madanmohan Rao is Co-founder of, and author of 15+ books on innovation, knowledge management, and digital transformation. He can be followed on LinkedIn and Twitter.