Category Archives: Creativity

How AI is Reshaping Brainstorming

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The Future of Ideation

How AI is Reshaping Brainstorming

GUEST POST from Chateau G Pato

For decades, the classic brainstorming session has been the centerpiece of innovation. A whiteboard, a room full of energetic people, and a flow of ideas, from the brilliant to the absurd. The goal was simple: quantity over quality, and to build on each other’s thoughts. However, as a human-centered change and innovation thought leader, I’ve come to believe that this traditional model, while valuable, is fundamentally limited. It’s often hindered by groupthink, a fear of judgment, and the cognitive biases of the participants. Enter Artificial Intelligence. AI is not here to replace human ideation, but to act as the ultimate co-pilot, fundamentally reshaping brainstorming by making it more data-driven, more diverse, and more powerful than ever before. The future of ideation is not human or AI; it’s human-plus-AI.

Generative AI, in particular, has a unique ability to break us out of our mental ruts. It can process vast amounts of data—market trends, scientific research, customer feedback, and design patterns—and instantly synthesize them into novel combinations that a human team might never consider. It can challenge our assumptions, expose our blind spots, and provide a constant, unbiased source of inspiration. By offloading the “heavy lifting” of data synthesis and initial idea generation to an AI, human teams are freed up to focus on what they do best: empathy, intuition, ethical consideration, and the strategic refinement of an idea. This isn’t just a new tool; it’s a new paradigm for creative collaboration.

The AI-Powered Ideation Blueprint

Here’s how AI can revolutionize the traditional brainstorming session, transforming it into a dynamic, data-rich experience:

  • Pre-Brainstorming Research & Synthesis: Before the team even enters the room, an AI can be tasked with a prompt: “Analyze the top customer complaints for Product X, cross-reference them with emerging technologies in the field, and generate 50 potential solutions.” This provides a rich, data-backed foundation for the session, eliminating the “blank page” syndrome.
  • Bias-Free Idea Generation: AI doesn’t have a boss to impress or a fear of sounding foolish. It can generate a wide range of ideas, including those that are counterintuitive or seem to come from left field. This helps to overcome groupthink and encourages more divergent thinking from the human participants.
  • Real-Time Augmentation: During a live session, an AI can act as an instant research assistant. A team member might suggest an idea, and a quick query to the AI can provide immediate data on its feasibility, market precedents, or potential risks. This allows for a more informed and efficient discussion.
  • Automated Idea Clustering & Analysis: After the session, an AI can quickly analyze all the generated ideas, clustering them by theme, identifying unique concepts, and even flagging potential synergies that humans might have missed. This saves countless hours of manual post-it note organization and analysis.
  • Prototyping & Visualization: With the right tools, a team can go from a text prompt idea to a basic visual prototype in minutes. An AI can generate mockups, logos, or even simple user interfaces, making abstract ideas tangible and easy to evaluate.

“AI isn’t the brain in the room; it’s the nervous system, connecting every thought to a universe of data and possibility.”

Case Study 1: Adobe’s Sensei & The Future of Creative Ideation

The Challenge:

Creative professionals—designers, marketers, photographers—often face creative blocks or repetitive tasks that slow down their ideation process. Sifting through stock photos, creating design variations, or ensuring brand consistency for thousands of assets can be a time-consuming and manual process, leaving less time for truly creative, breakthrough thinking.

The AI-Powered Solution:

Adobe, a leader in creative software, developed Adobe Sensei, an AI and machine learning framework integrated into its Creative Cloud applications. Sensei is not a tool for generating an entire masterpiece; rather, it’s a co-pilot for ideation and creative execution. For example, a designer can provide a few images and a text prompt to Sensei, and it can generate dozens of logo variations, color palettes, or photo compositions in seconds. In another example, its content-aware fill can instantly remove an object from a photo and seamlessly fill in the background, a task that used to take hours of manual work.

  • Accelerated Exploration: Sensei’s generative capabilities allow designers to explore a vast “idea space” much faster than they could on their own, finding new and unexpected starting points.
  • Automation of Repetitive Tasks: By handling the tedious, low-creativity tasks, Sensei frees up the human designer to focus on the higher-level strategic and aesthetic decisions.
  • Enhanced Personalization: The AI can analyze a user’s style and past work to provide more personalized and relevant suggestions, making the collaboration feel seamless and intuitive.

The Result:

Adobe’s integration of AI hasn’t replaced creative jobs; it has transformed them. By accelerating the ideation and creation process, it has empowered creative professionals to be more prolific, experiment with more ideas, and focus their energy on the truly unique and human-centric aspects of their work. The AI becomes a silent, tireless brainstorming partner, pushing creative teams beyond their comfort zones and into new territories of possibility.

Case Study 2: Generative AI in Drug Discovery (Google’s DeepMind & Isomorphic Labs)

The Challenge:

The ideation process in drug discovery is one of the most complex and time-consuming in the world. Identifying potential drug candidates—novel molecular structures that can bind to a specific protein—is a task that traditionally requires years of laboratory experimentation and millions of dollars. The number of possible molecular combinations is astronomically large, making it impossible for human scientists to explore more than a tiny fraction.

The AI-Powered Solution:

Google’s DeepMind, through its groundbreaking AlphaFold AI model, has fundamentally changed the ideation phase of drug discovery. AlphaFold can accurately predict the 3D structure of proteins, a problem that had stumped scientists for decades. Building on this, Google launched Isomorphic Labs, a company that uses AI to accelerate drug discovery. Their models can now perform “in-silico” (computer-based) ideation, generating and testing millions of potential molecular structures to find those most likely to bind with a target protein.

  • Exponential Ideation: The AI can explore a chemical idea space that is orders of magnitude larger than what a human team or even a traditional lab could ever hope to.
  • Rapid Validation: The AI can predict the viability of a molecule almost instantly, saving years of physical lab work on dead-end ideas.
  • New Hypotheses: The AI can propose novel molecular structures and design principles that are outside the conventional thinking of human chemists, leading to breakthrough hypotheses.

The Result:

By using AI for the ideation phase of drug discovery, companies are drastically reducing the time and cost it takes to find promising drug candidates. The human scientist is not replaced; they are empowered. They can now focus on the higher-level strategy, the ethical implications, and the final verification of a drug, while the AI handles the tireless and rapid-fire brainstorming of molecular possibilities. This is a perfect example of how AI can move an entire industry from incremental innovation to truly transformative, world-changing breakthroughs.

Conclusion: The Human-AI Innovation Symbiosis

The future of ideation is a collaboration, a symbiosis between human creativity and artificial intelligence. The most innovative organizations will be those that view AI not as a threat to human ingenuity, but as a powerful amplifier of it. By leveraging AI to handle the data crunching, the pattern recognition, and the initial idea generation, we free our teams to focus on what truly matters: asking the right questions, applying empathy to solve human problems, and making the final strategic and ethical decisions.

As leaders, our challenge is to move beyond the fear of automation and embrace the promise of augmentation. It’s time to build a new kind of brainstorming room—one with a whiteboard, a team of passionate innovators, and a smart, tireless AI co-pilot ready to turn our greatest challenges into an infinite number of possibilities. The era of the augmented innovator has arrived, and the future of great ideas is here.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Pixabay

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Three HOW MIGHT WE Alternatives That Actually Spark Creative Ideas

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Three How Might We Alternatives That Actually Spark Creative Ideas

GUEST POST from Robyn Bolton

Q: How might we brainstorm new ideas to serve our customers better?

A: Have a brainstorming session that starts with “How Might We help customers [Job to be Done/problem]?”

If only it were that simple.

How Might We (HMW) is an incredible tool (not BS, as some would assert), but we misuse it. We focus too much on the “we” and not enough on the “might.”

Might > We

HMW was first used to prompt people to be “wildly creative while simultaneously leveraging [company’s] innate strengths.”

IDEO popularized the prompt as a way to solve “wicked problems” – problems so complex that there is no right or wrong answer.

In both of these cases, the assumption was that the word “might” would free people from the shackles of today’s thinking and constraints and give people permission to dream without fear of judgment and reality.

“We” kept ideas tethered to the reality of the company’s “innate strengths,” providing a modicum of comfort to executives worried that the session wouldn’t result in anything useful and would, therefore, be a waste of time.

We > Might

Alas, as time went on and HMW became more popular, we lost sight of its intent (prompt wildly creative thinking about wicked problems) and twisted it to our purposes.

  • We end the HMW sentence with our problems (e.g., HMW cut costs by getting more customers to use self-service tools?).
  • We use it to brainstorm solutions to things that aren’t even problems (e.g., HMW eliminate all customer service options that aren’t self-serve?)
  • We mentally replace “might” with “will” so we can emerge from brainstorming sessions with a tactical implementation plan.

How Might Can YOU Fix HMW?

If you’re not getting creative, radical, or unexpected ideas from your brainstorming sessions, you have an HMW problem.< As a result, continuing to use HMW as a tool to prompt creative, radical, or unexpected ideas is the definition of insanity. And you are not insane. Instead, mix it up. Use different words to articulate the original intent of HMW.

How would we solve this problem if the answer to every request is YES?

Innovation thrives within constraints. Brainstorming doesn’t.

Even when you tell people not to constrain themselves, even implore them to value “quantity over quality,” you still get more “safe” ideas rather than more “crazy” ideas.

Do more than tell. Make a world without constraints real. Explicitly remove all the constraints people throw at ideas by creating a world of infinite money, people, capabilities, willingness, appetite for risk, and executive support. Doing this removes the dreaded “but” because there is no “but we don’t have the money/people/capabilities” or “but management will never go for it” and creates space for “and.”

What would we ask for if we were guaranteed a YES to only ONE request?

This question is often asked at the end of a brainstorm to prioritize ideas. But it’s equally helpful to ask it at the beginning.

This question shifts our mindset from “the bosses will never say yes, so I won’t even mention it” to “the bosses will say yes to only one thing, so it better be great!”  It pulls people off the sidelines and reveals what people believe to be the most critical element of a solution.   It drives passionate engagement amongst the whole team and acts as a springboard to the next brainstorm – How Might We use (what they said yes to) to solve (customers’ Jobs to be Done/problem)?

How would we solve the problem if the answer to every request is NO?

This one is a bit risky.

Some people will throw their hands in the air, declare the exercise a waste of time and effort, and collapse into a demotivated blob of resignation.

Some people will feel free. As Seth Godin wrote about a journal that promises to reject every single person who submits an article, “The absurdity of it is the point. Submitting to them feels effortless and without a lot of drama, because you know you’re going to get rejected. So instead of becoming attached to the outcome, you can simply focus on the work.”

For others, this will summon their inner rebel, the part of themselves that wants to stick it to the man, prove the doubters wrong, and unleash a great “I told you so” upon the world. To them, “No” is the start of the conversation, not the end. It fires them up to do their best work.

Don’t invite the first group of people to the brainstorm.

Definitely invite the other two groups.

How Might Will/Do YOU Fix HMW?

If you want something different, you need to do something different.

Start your next brainstorm with a new variation on the old HMW prompt.

How do people react? Does it lead to more creative or more “safe” ideas?

How might we adjust to do even better next time?

Image credit: Pexels

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Are You Hanging Your Chief Innovation Officer Out to Dry?

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Are You Hanging Your Chief Innovation Officer Out to Dry?

GUEST POST from Teresa Spangler

Only 7 percent of companies are delivering on the growth triple play by unifying creativity, analytics, and purpose. They are driving average revenue growth of 2.3 times versus peers from 2018–19 (which increased to 2.7 times versus peers from 2019–20). McKinsey

Many innovation leaders are feeling “hung out to dry.” It’s not for the lack of desire to innovate for sure. The challenge is the current innovation processes themselves are not always conducive to actually innovating:

  1. the effort hits the balance sheet and potentially impacts profits
  2. organizational teams fear the unknown and not being involved so often does not support the effort
  3. some innovation leaders alienate team members by pushing too hard
  4. and the priorities of the day simply just get in the way of doing new things.

Innovation is not a buzzword, it is not easy or for the faint at heart. In a hyper-disruptive economy where technologies are impacting everything and changing at unfathomable speeds, keeping pace with trends will take a concentrated effort with very little tolerance for complacency.

Times of uncertainty bring times of doubt and fear on taking risks and making changes. However, the opposite is needed to continue growth in challenging economic times. Companies that infuse creativity and combine creativity with analytics and as McKinsey notes, PURPOSE, continue growth at a faster pace. These companies are creating new products that matter to their customers, they are innovating new campaigns and ways to engage customers as well as new ways to acquire new customers. Innovating methods, business models, and campaigns are just a few outcomes of driving creativity and an analytic savvy in your company’s culture.

Innovation does not have to be groundbreaking disruption (of course it can be! but does not have to be). Iterative changes to the benefit of future needs of customers can be a ground-breaking change for your company’s growth strategy. What is your company’s risk tolerance? What freedom to play with new ideas does your innovation team have or your new product development team encourage? How well aligned are creative process with sales, marketing and product teams?

Plazabridge Group has been involved with 100’s of projects over 15 years and we’ve seen success come to those that double down in the hardest times staying future focused. Segmenting out a future’s team that focuses on the future is important. The day-to-day business must keep going. There are a number of methodologies that work well but none will work at all without a few key changes to the organization to ensure ideas flow from ideation to commercialization.

In the The Wall Street Journal article: Why More Companies Are Putting the LEGO Group Bricks in the Office, Lego Serious Play (LSP) has been used by the U.S. Naval War College (Warfare Division), and spread across energy, transport and finance industries. Companies including Google, Ernst & Young, Microsoft, Visa, Lexus and Procter & Gamble have used it. Plazabridge Group uses LSP in our innovation future planning workshops for companies.

The key is not all play! The necessity to drive a stronger analytic savvy is critical to the effort. In the efforts to create, we must answer the questions: WHO CARES? and WHY? and WHAT WILL THEY CARE ABOUT IN THE FUTURE?

Here are a few tips to consider that may help make driving innovating just a bit easier on the organization:

  1. Build your innovation team’s sandbox and give them freedom to work within these constraints. Innovation is not permission to roam freely and haphazardly. Under a defined set of guidelines with a defined budget and set of resources the innovation team can be quite effective.

  2. Remove barriers to approvals under the above guidelines. Allow the innovation team to introduce to departments and company leaders new ways of thinking by hosting events or information sessions to the teams. By doing so it begins to remove fear of the unknown and the mystery around the effort. Open communications and systems can be a very positive outcome.

  3. Don’t be afraid to approach innovation from outside. There are a number of ways to do this, but you will need a strong leader inside to lead the way and manage the inside out and the outside in process.

  4. Recognize that new innovations do not always fit nicely in the current company structure, processes and culture. Consider spinning it out and investing in new ventures as their own entities.

At the end of the day, you need strong people with a tenacity to pursue outside the world of the unknown. This does not always feel comfortable to the organization. Just don’t leave the innovation team “hanging out to dry!”

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You Can’t Innovate Without This One Thing

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You Can't Innovate Without This One Thing

GUEST POST from Robyn Bolton

It just landed on your desk. Or maybe you campaigned to get it. Or perhaps you just started doing it. How the title of “Innovation Leader” got to your desk doesn’t matter nearly as much as the fact that it’s there, along with a budget and loads of expectations.

Of course, now that you have the title and the budget, you need a team to do the work and deliver the results.

Who should you look for? The people that perform well in the current business, with its processes, structures, and (relative) predictability, often struggle to navigate the constant uncertainty and change of innovation. But just because someone struggles in the process and structure of the core business doesn’t mean they’ll thrive creating something new.

What are the qualities that make someone a successful innovator?

70 answers

A lot of people have a lot to say about the qualities and characteristics that make someone an innovator. When you combine the first four Google search results for “characteristics of an innovator” with the five most common innovation talent assessments, you end up with a list of 70 different (and sometimes conflicting) traits.

The complete list is at the end of this article, but here are the characteristics that appeared more than once:

  1. Curious
  2. Persistent
  3. Continuously reflective
  4. Creative
  5. Driven
  6. Experiments
  7. Imaginative
  8. Passionate

It’s a good list, but remember, there are 62 other characteristics to consider. And that assumes that the list is exhaustive.

+1 Answer

It’s not. Something is missing.

There is one characteristic shared by every successful innovator I’ve worked with and every successful leader of innovation. It’s rarely the first (or second or third) word used to describe them, but eventually, it emerges, always said quietly, after great reflection and with dawning realization.

Vulnerability.

Whether you rolled your eyes or pumped your fist at the word made famous by Brene Brown, you’ve no doubt heard it and formed an opinion about it.

Vulnerability is the “quality or state of being exposed to the possibility of being attacked or harmed, either physically or emotionally.”  Without it, innovation is impossible.

Innovation requires the creation of something new that creates value. If something is new, some or all of it is unknown. If there are unknowns, there are risks. Where there are risks, there is the possibility of being wrong, which opens you up to attack or harm.

When you talk to people to understand their needs, vulnerability allows you to hear what they say (versus what you want them to say).

In brainstorming sessions, vulnerability enables you to speak up and suggest an idea for people to respond to, build on, or discard.

When you run experiments, vulnerability ensures that you accurately record and report the data, even if the results aren’t what you hoped.

Most importantly, as a leader, vulnerability inspires trust, motivates your team, engages your stakeholders, and creates the environment and culture required to explore, learn, and innovate continuously.

n + 1 is the answer

Just as you do for every job in your company, recruit the people with the skills required to do the work and the mindset and personality to succeed in your business’ context and culture.

Once you find them, make sure they’re willing to be vulnerable and support and celebrate others’ vulnerability. Then, and only then, will you be the innovators your company needs.

Here’s the full list of characteristics:

  1. Action-oriented, gets the job done
  2. Adaptable
  3. Ambitious
  4. Analytical, high information capacity, digs through facts
  5. Associative Thinker, makes uncommon connections
  6. Breaks Boundaries, disruptive
  7. Business minded
  8. Collaborative
  9. Compelling Leader
  10. Competitive
  11. Consistent
  12. Continuously reflects (x3)
  13. Courageous
  14. Creative (x3)
  15. Curious (x4), asks questions, inquisitive, investigates
  16. Delivers results, seeks tangible outcomes
  17. Disciplined
  18. Divergent Thinker
  19. Driven (x3)
  20. Energetic
  21. Experiments (x2)
  22. Financially oriented
  23. Flexible, fluid
  24. Formally educated and trained
  25. Futuristic
  26. Giving, works to benefit others, wants to make the world better
  27. Goal-oriented
  28. Has a Growth mindset
  29. Highly confident
  30. Honest
  31. Imaginative (x2)
  32. Influential, lots of social capital
  33. Instinctual
  34. Intense
  35. Iterating between abstract and concrete thinking
  36. Learns through experiences
  37. Likes originality, seeks novelty
  38. Loyal
  39. Motivated by change, open to new experiences
  40. Networks, relates well to others
  41. Observes
  42. Opportunistic mindset, recognizes opportunities
  43. Opportunity focused
  44. Passionate (x2)
  45. Patient
  46. Persistent (x4)
  47. Persuasive
  48. Playful
  49. Pragmatic
  50. Proactive
  51. Prudent
  52. Rapidly recognizes patterns
  53. Resilient
  54. Resourceful
  55. Respects other innovators
  56. Seeks understanding
  57. Self-confident
  58. Socially intelligent
  59. Stamina
  60. Takes initiative
  61. Takes risks
  62. Team-oriented
  63. Thinks big picture
  64. Thrives in uncertainty
  65. Tough
  66. Tweaks solutions constantly
  67. Unattached exploration
  68. Visionary
  69. Wants to get things right
  70. Willing to Destroy

And the sources:

Image Credit: Pixabay

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People Drive the World-Technology as a Co-Pilot via Center of Human Compassion

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People Drive the World-Technology as a Co-Pilot via Center of Human Compassion

GUEST POST from Teresa Spangler

People at the Center – Technology as a Co-Pilot

Are people at the center of your innovation and new product plans? Have we made people the center of all things digital? Are human’s and our environment the center of the new world entering the 4th Industrial Revolution? When innovation is during groundbreaking disruptive inventions or whether innovation is iterating into new products… what is placed at the center of your strategies? What are the reasons for these new inventions?

So much is at stake, as the world turns to being driven by AI, humanoids, rockets’ red glare searching for new lands to inhabit, games and more games feeding our brains with virtual excitement and stimulation, devices galore on our bodies, in our hands, in our homes helping us navigate our every move and in many ways directing us on how to think. The acceleration of digital permeating our lives is mind boggling. The news we are fed, seemingly unbiased, the product advertisements that sneak into our feeds, the connections via too many social and work-related networks that appear all too promising and friendly too is overwhelming. Technology is encompassing our lives!

The Power of Technology

Don’t get me wrong, I love technology for all the positive it contributes to the world. Technology is allowing individuals to create! To create and earn! To take control of their lives and build meaningful endeavors. The creation of TIME and SPACE to live how we to live has been a major outcome of

1. technology but also 2. the pandemic.

Let’s explore the creator economy which has experienced an explosion of late. As referenced in the Forbes article, The Biggest Trends For 2022 In Creator Economy And Web3, by Maren Thomas Bannon, Today, the total size of the creator economy is estimated to be over $100 billion and 50 million people worldwide consider themselves creators. Creators will continue to bulge out of the global fabric as individuals seek to augment their incomes or escape the confines or rigged corporate cultures. Technology is enabling creators no doubt!

Technology is also allowing forward acting organizations to scale growth at unprecedented speeds. Let’s look at a recent survey conducted by Accenture

Curious about the effects of the pandemic, we completed a second round of research in early 2021 and discovered the following:

  1. Technology Leaders have moved even further ahead of the pack and have been growing at 5x the rate of Laggards on average in the past three years.
  2. Among the “Others” there is a group of organizations—18% of the entire sample—that has been able to break previous performance barriers—the Leapfroggers.

Let’s look at a recent survey conducted by Accenture

Curious about the effects of the pandemic, we completed a second round of research in early 2021 and discovered the following:

  1. Technology Leaders have moved even further ahead of the pack and have been growing at 5x the rate of Laggards on average in the past three years.
  2. Among the “Others” there is a group of organizations—18% of the entire sample—that has been able to break previous performance barriers—the Leapfroggers.

Of course, so much technology is doing good things for the world. 3-D printing is emerging at the center of homelessness. As reported in the #NYTIMES, this tiny village in Mexico is housing homeless people. The homes were built using an oversized 3-D printer.

Another example positive outcomes of technology is the emergence of over-the-counter hearing devices. Fortune Business Insights estimates the global hearing aids market is projected to grow from $6.67 billion in 2021 to $11.02 billion by 2028 at a CAGR of 7.4% in forecast period, 2021-2028.

These devices, until this year, were regulated to being sold by medical professionals at, for the majority of population in need, very high prices $2000 to $5000+ per hearing aid. Yes typically you need two. But recent innovations in ear buds and bluetooth are allowing other technology companies into the game! Take Bose for example, the FDA recently approved Bose SoundControl Hearing Aids to be purchased on their website for $895/pair. No need for a hearing professional. This significantly changes the playing field and opens the doors for so many that have put off purchases (of these not covered by insurance by the way) devices.

Entertainment & leisure travel is going to a whole new level with the help of technology. It’s wonderful that anyone with connectivity and travel the world and explore via Virtual Reality. Here are 52 places you can explore in the comfort of your home shared by NY Times. Many of us attended conferences and events over the past two years virtually. We’ll see an exponential growth in virtual reality experiences in the coming year.

So why am I talking about creating a Center for Human Compassion if so much good is really coming out of technology? Because many of the outcomes are also unrealized and not anticipated or at least publicized to prepare people. It is essential for companies, technologists, and product teams to consider the consequences of new technologies. Not as an afterthought but at the forethought, from inception of ideas we must ask what are the downsides? How will people be affected? What could happen?

The quote below is taken from the World Economic Forum report, Positive AI Economic Futures

machines will be able to do most tasks better than humans. Given these sorts of predictions, it is important to think about the possible consequences of AI for the future of work and to prepare for different scenarios. Continued progress in these technologies could have disruptive effects: from further exacerbating recent trends in inequality to denying more and more people their sense of purpose and fulfillment in life, given that work is much more than just a source of income.

WeForum brings 150 thought leaders together to share thoughts on how we create an AI world we want. For all of AI’s good, there are potentials for negative outcomes.

Let’s take the military’s fight again hobbyists and drones. In the recent article from WSJ, The Military’s New Challenge: Defeating Cheap Hobbyist Drones, how much energy was placed on Human Compassion if drone technologies, IoT and AI got in the wrong hands?

The U.S. is racing to combat an ostensibly modest foe: hobbyist drones that cost a few hundred dollars and can be rigged with explosives. @WSJ

I feel certain there was some consideration but not enough to draw out possible negative impacts and how to mitigate them before they could even start. Did we really put people at the center of what is possible with drone technologies? What do you think?

This is no easy task. We know what is good for us can turn to bad for us when in the wrong hands, or if it’s not moderated to healthy limits. How do we help facilitate a more compassionate relationship with technology and put people at the center?

Here are four strategies to ensure you are keeping people at the center of your innovation, new products and technology development efforts.

  1. Create a Center of Human Compassion, or People Centered Technology Consortium, or what ever you wish to brand your initiative. Select trusted advisors from external (customers, partners…) and a select group of internal stake holders to join your collaborative to gather input, feedback and push back!
  2. Discuss with your trusted group very early on. Gamify initiatives around gathering what ifs! Anticipating the worst you will plan better for the best! (leaving the hope out)
  3. Build a continuous feedback loop. It is important that insights and scenarios are revisited and rehashed over and over again.
  4. Join other consortiums and get involved with AI and tech for good initiatives. If you can’t find ones you feel are of value to you and your company, start one!

Mantra for the year: #lucky2022 but not without work and placing people front and center of plans will good fortune and luck come for the masses.

As always, reach out if you have ideas you’d like to share or questions you’d like to discuss!

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Beyond Automation: How AI Elevates Human Creativity in Innovation

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Beyond Automation: How AI Elevates Human Creativity in Innovation

GUEST POST from Art Inteligencia

The chatter surrounding Artificial Intelligence often paints a picture of stark dichotomy: either AI as a tireless automaton, displacing human roles, or as an ominous, sentient entity. As a human-centered change and innovation thought leader, I find both narratives profoundly miss the point. The true revolution of AI isn’t in what it *replaces*, but in what it **amplifies**. Its greatest promise lies not in automation, but in its unparalleled ability to act as a powerful co-pilot, fundamentally elevating human creativity in the complex dance of innovation.

For centuries, the spark of innovation was viewed as a mystical, solitary human endeavor. Yet, in our hyper-connected, data-saturated world, the lone genius model is becoming obsolete. AI steps into this void not as a rival, but as an indispensable cognitive partner, liberating our minds from the tedious and augmenting our uniquely human capacity for empathy, intuition, and truly groundbreaking thought. This isn’t about AI *doing* innovation; it’s about AI empowering humans to innovate with unprecedented depth, speed, and impact.

The Cognitive Co-Pilot: AI as a Creativity Catalyst

To grasp how AI truly elevates human creativity, we must reframe our perspective. Imagine AI not as a separate entity, but as an extension of our own cognitive capabilities, allowing us to think bigger and explore further. AI excels at tasks that often bog down the initial, expansive phases of innovation:

  • Supercharged Sensing & Synthesis: AI can rapidly sift through petabytes of data—from global market trends and nuanced customer feedback to scientific breakthroughs and competitor strategies. It identifies obscure patterns, correlations, and anomalies that would take human teams decades to uncover, providing a rich, informed foundation for novel ideas.
  • Expansive Idea Generation: While AI doesn’t possess human “creativity” in the emotional sense, it can generate an astonishing volume of permutations for concepts, designs, or solutions based on defined parameters. This provides innovators with an infinitely diverse raw material, akin to a boundless brainstorming partner, for human refinement and selection.
  • Rapid Simulation & Prototyping: AI can simulate complex scenarios or render virtual prototypes with incredible speed and accuracy. This accelerates the “test and learn” cycle, allowing innovators to validate assumptions, identify flaws, and iterate ideas at a fraction of the time and cost, minimizing risk before significant investment.
  • Liberating Drudgery: By automating repetitive, analytical, or research-intensive tasks (e.g., literature reviews, coding boilerplate, data cleaning), AI frees human innovators to dedicate their invaluable time and cognitive energy to higher-order creative thinking, empathic problem framing, and the strategic foresight that only humans can provide.

Meanwhile, the irreplaceable human element brings the very essence of innovation:

  • Empathy and Nuance: AI can process sentiment, but it cannot truly *feel* or understand the unspoken needs, cultural context, and emotional drivers of human beings. This deep empathy is paramount for defining meaningful problems and designing solutions that truly resonate.
  • Intuition & Lateral Thinking: The spontaneous “aha!” moments, the ability to connect seemingly disparate concepts in genuinely novel ways, the audacious leap of faith based on gut feeling honed by experience—these remain uniquely human domains.
  • Ethical Judgment & Purpose: Determining the “why” behind an innovation, its intended impact, and ensuring its alignment with human values and ethical considerations demands human wisdom and foresight.
  • Storytelling & Vision: Articulating a compelling vision for a new product or solution, inspiring adoption, building coalitions, and weaving a resonant narrative around innovation is a distinctly human art form, essential for bringing ideas to life.

Case Study 1: BenevolentAI – Igniting Scientific Intuition

Accelerating Drug Discovery with AI-Human Collaboration

Traditional drug discovery is a famously protracted, exorbitantly expensive, and often dishearteningly unsuccessful process. BenevolentAI, a pioneering AI-enabled drug discovery company, provides a compelling testament to AI augmenting, rather than replacing, human creativity.

  • The Challenge: Sifting through billions of chemical compounds and vast scientific literature to identify promising drug candidates and understand their complex interactions with specific diseases.
  • AI’s Role: BenevolentAI’s platform employs advanced machine learning to digest colossal amounts of biomedical data—from scientific papers and clinical trial results to intricate chemical structures. It uncovers hidden patterns and proposes novel drug targets or molecules that human scientists might otherwise miss or take years to find. This significantly narrows the focus for human investigation.
  • Human Creativity’s Role: Human scientists, pharmacologists, and biologists then leverage these AI-generated hypotheses. They apply their profound domain expertise, critical thinking, and scientific intuition to design rigorous experiments, interpret complex biological outcomes, and creatively problem-solve the path towards viable drug candidates. The AI provides the expansive landscape of possibilities; the human provides the precision, the ethical lens, and the iterative refinement.

**The Lesson:** AI liberates human scientists from data overwhelm, allowing their creativity to focus on the most intricate scientific challenges and accelerate breakthrough medical solutions.

Case Study 2: Autodesk – Unleashing Design Possibilities

Generative Design: Expanding the Horizon of Sustainable Products

Autodesk, a global leader in 3D design software, has masterfully integrated AI-powered generative design into its offerings. This technology beautifully illustrates how AI can dramatically expand the creative possibilities for engineers and designers, especially in critical fields like sustainable manufacturing.

  • The Challenge: Designing components that are lighter, stronger, and use minimal material (e.g., for aerospace or automotive sectors) while adhering to stringent engineering and manufacturing constraints.
  • AI’s Role: Designers input specific performance requirements (e.g., maximum weight, material types, manufacturing processes, stress points). The AI then employs complex algorithms to explore and generate thousands, even millions, of unique design options. These often include highly organic, biomimetic structures that would be beyond conventional human conceptualization, automatically optimizing for factors like material reduction and structural integrity.
  • Human Creativity’s Role: The human designer remains unequivocally in the driver’s seat. They define the initial problem, establish the critical constraints, and, most importantly, critically evaluate the AI-generated solutions. Their creativity manifests in selecting the optimal design, refining it for aesthetic appeal, integrating it seamlessly into larger systems, and ensuring it meets human-centric criteria like usability, manufacturability, and market appeal in the real world. AI provides the unprecedented breadth of possibilities; the human brings the discerning eye, the artistry, and the practical application.

**The Lesson:** AI provides an explosion of novel design options, freeing human designers to elevate their focus to aesthetic refinement, functional integration, and real-world impact.

Leading the Human-AI Innovation Renaissance

For forward-thinking leaders, the imperative is clear: shift the narrative from “AI will replace us” to “How can AI empower us?” This demands a deliberate cultivation of human-AI collaboration:

  1. Upskill for Synergy: Invest aggressively in training your teams not just in using AI tools, but in the uniquely human skills that enable effective partnership: critical thinking, ethical reasoning, empathetic design, and advanced prompt engineering.
  2. Design for Augmentation: Implement AI systems with the explicit goal of amplifying human capabilities, not merely automating existing tasks. Focus on how AI can enhance insights, accelerate iterations, and free up valuable human cognitive load for higher-value activities.
  3. Foster a Culture of Play and Experimentation: Create safe spaces for teams to explore AI, experiment with its limits, and discover novel ways it can support and spark their creative processes. Encourage a “fail forward fast” mindset with AI.
  4. Anchor in Human Values: Instill a non-negotiable principle that human empathy, ethical considerations, and purpose always remain the guiding stars for every innovation touched by AI. AI is a powerful tool; human values dictate its direction and impact.

The innovation landscape of tomorrow will not be dominated by Artificial Intelligence, nor will it be solely driven by human effort. It will be forged in the most powerful partnership ever conceived: the dynamic fusion of human ingenuity, empathy, and vision with the analytical power and scale of AI. This is not the end of human creativity; it is its most magnificent renaissance, poised to unlock solutions we can barely imagine today.

“The future of work is not human vs. machine, but human + machine.”
– Ginni Rometty

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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