Problems
How to Solve the Right Problem (with AI)
Humans hate problems. They feel dangerous, awkward and threatening. As an innovator, I’m supposed to lean happily into problems and embrace them.
Innovation team
AI + Innovation thinking
How we think AI and social innovation mix to create new opportunities for charities
Complexity
Navigating complex problems: From Whack-a-Mole Tactics to Systems Innovation
Problems come in all shapes and sizes. It's important to figure out what’s really going on and choose the appropriate response. Often, we tackle problems by breaking them down, but...
Innovation team
Uncertainty
5 Tips to Turn Uncertainty into Opportunities for Innovation
There is an upside to uncertainty. It can present nonprofits with new pathways to reimagine, accelerate and amplify desired change. We can uncover hidden opportunities...
Innovation team
Uncertainty
What we've learnt from 30 AI-enabled One-Day Sprints
Earlier this year we built our AI website using GPT4. It turned my thinking about technology on its head. In three days we had the website ready. But it took three weeks...
Innovation team
Culture
Building a responsible culture of AI Innovation
A Q&A with Ismael Garcia, CEO of Kairoi, an AI Ethics & Research Governance Consultancy on building a responsible culture of AI Innovation.
Senior Innovation Designer
Responsibility
Injecting playfulness & creativity into responsible AI Innovation
In this article, we explore 6 creative, playful tools for responsible AI Innovation.
Senior Innovation Designer
Future
Generative AI: powerful tools to imagine + explore better futures
Speculative Design is the discipline that imagines futures that don’t exist. Combined with generative AI it helps us break free from the constraints of the present.
Senior Innovation designer
Design
Words are hard - why natural language is a bottleneck for interaction
Everywhere you look you’ll find text prompts to talk to machines. But, in many circumstances, it isn’t a good interaction pattern.
Director of Innovation
Risks
The dangers of integrating with large language models and how to reduce them
Creating experiences on top of large language models can expose people to harm. As social innovators we should tread carefully.
Director of Innovation
Future
Casting large language models into permanent form
We should introduce the concept of ‘embodying’ LLMs where, instead of always directly interfacing with LLMs, we direct them to solve specific, discrete problems.
Director of Innovation
Imagination
The AI Equation: Making progress through imagination, optimism and fearless persistence
Is our brain's natural inclination to scan for threats and resist change holding us back from exploring the new possibilities AI presents? We believe so.
Innovation Team
Testing
Are LLMs our version of 3D printers?
3D printers changed how physical products were designed and built. Ideas were quick to iterate, test and validate. Large language models (LLMs) are potentially the 3D printer moment for digital products.
Director of Innovation
Hope
The flipside: Why you should harness the power of AI for good
Not-for-profit’s, charities and purpose-led organisations should start considering how they can take advantage of AI and large language models. Here are four inspiring examples to get you started thinking about this.
Senior Innovation Designer
Errors
9 misconceptions about Large Language Models
I’ve been running workshops, trainings and webinars over the last month. These are the most common misconceptions that come up about what Large Language Models are and what they can do.
Director of Innovation
Future
4 steps nonprofits, charities & purpose-led organisations can take today to ensure their organisations are ready for AI
Our last article shared the 10 reasons why purpose-led organisations shouldn’t engage with LLMs. Deliberately provocative? Possibly...
Innovation team
Ethics
10 reasons nonprofits, charities and purpose-led organisations shouldn't use Large Language Models
The last few months have seen incredible acceleration in the development and adoption of Large Language models (LLMs).
Innovation team
Skepticism
LLMs? The feeling is neutral
Innovation is about invalidating beliefs and assumptions. This is especially true when something is new, shiny and exciting.
Innovation team
Tools
What we're working on
Tools aren’t neutral. We’re deliberately being cautious in how we experiment and part of that is being transparent about what we are and aren’t using them for in these early stages.
Director of Innovation
Tools
This website was built using a large language model (mostly)
We took GPT4 for a test to see if we could use it to build out a new website for all things related to innovation and AI here at Torchbox.
Innovation team
Disruption
You'll regret betting against LLMs
GPT4 was released two weeks ago. I've been using it since it was released. It's slow, it still hallucinates and frequently forgets the thread of the conversation that it's supposed to remember. But it would be a mistake to bet against it.
Innovation team
Skeptisism
Beware, AI may never be 'production' ready
We should be open to the idea that the hallucinations, misinformation and misrepresentation might be impossible to remove.
Director of Innovation
Futures
Our own speculative futures at Torchbox
Our attempt at creating seven plausible futures to help planning, thinking and understanding of this paradigm change.
Innovation team
Opening
An introduction to our AI thinking
We've created this new website to explore the AI paradigm shift with a number of different lenses for workshops we're run, services we've created or early product explorations.
Innovation team
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