Our AI Assistant Now Speaks Your Language, Not Just English
IFB Gaming
Research we’ve read this year, from Accenture’s AI Participation Gap report to Good Things Foundation‘s own regional network meet-ups, keeps saying the same thing: people don’t just need access to AI tools, they need to understand what’s happening in their own language. Not a translated welcome message. The whole conversation.
So we built exactly that, and it’s live on our homepage now.
A Real Conversation, Not a Demo
We tested it ourselves before writing this. We said hello. It asked what language we were most comfortable in. We said Yoruba.
yoruba
Ẹ káàbọ̀.
Èdè Yorùbá dára fún mi.
Báwo ni mo ṣe lè ràn yín lọ́wọ́ lónìí?
It didn’t just greet us in Yoruba and switch back to English. It offered its menu of options in Yoruba. When we said thank you, “Ose”, it replied “Ẹ ṣé púpọ̀.” The whole exchange, start to finish.
Why This Matters
This is a direct answer to something we’ve heard named specifically, by researchers, by Good Things Foundation’s own network, by the families we work with: language shouldn’t be the reason someone is left guessing at a screen. If English isn’t your first language, or your most comfortable one, you shouldn’t have to fight through it just to get help.
We built our Inclusion & AI Literacy Assistant to close that gap properly, not with a token gesture, but with a real, working conversation in whatever language someone actually needs.
Not a Generic AI Bot
Most AI assistants are a generic model with a company’s branding on top. Ours isn’t. It’s built on the same frameworks that shape everything else we do: the Access → Skills → Confidence → Participation cycle behind our Digital Inclusion Toolkit, and John Adewole’s own MOSFC and 7 Pillars models, the same thinking behind how we design every programme we run.
That means when someone asks the assistant for help, it isn’t guessing. It’s reasoning from a structure built specifically for digital inclusion, not a general-purpose chatbot repurposed for the occasion.
Try It Yourself
Look for the chat icon on ifbgaming.com and say hello, in whatever language feels right to you.
Artificial Intelligence (AI) is rapidly becoming part of everyday digital life.
From search engines and customer service chatbots to healthcare systems, online learning platforms, and workplace tools, AI is quietly shaping how information is delivered and how decisions are made.
For many people, this shift is exciting. AI promises greater efficiency, smarter tools, and new ways of solving complex problems.
But for communities already facing digital barriers, the rise of AI raises an important question:
What happens when digital inclusion moves into the age of artificial intelligence?
Digital Inclusion Has Entered a New Phase
For many years, digital inclusion efforts focused on three core challenges:
• access to devices and connectivity • basic digital skills • confidence using online services
Organisations across the UK and around the world have made enormous progress in helping individuals access the internet and develop the skills needed to participate in a digital society.
However, as AI systems become embedded in digital services, the nature of digital inclusion is beginning to change.
Digital participation will increasingly require people to understand how automated systems generate information, make recommendations, and sometimes make decisions.
This represents a new stage in the digital inclusion journey.
When Digital Services Become AI-Driven
Artificial intelligence is already influencing many services people rely on every day.
Examples include:
automated customer service systems
job recruitment screening tools
recommendation engines on digital platforms
AI-powered educational tools
decision-support systems in healthcare and finance
While these systems can improve efficiency and accessibility, they also introduce new challenges.
Users may not always understand:
where the information is coming from
how decisions are being made
whether an AI-generated answer is reliable
how their personal data is being used
Without the right support, individuals who have recently become digitally included may find themselves facing a new layer of complexity.
The Role of Community Organisations
Community organisations have long played an essential role in supporting digital inclusion.
Libraries, charities, community centres, and local support networks often act as trusted intermediaries between digital systems and the people who use them.
As AI becomes more widespread, these organisations may become equally important in helping communities understand and navigate intelligent technologies.
This could involve helping individuals:
understand what AI tools are and how they work
recognise AI-generated content
verify information produced by automated systems
protect personal data when using AI-powered services
explore how AI might support learning, employment, or creativity
In this sense, community organisations may increasingly act as AI translators — helping people interact confidently with emerging technologies.
AI Literacy as a Community Skill
Just as digital literacy became a key skill over the past decade, AI literacy may soon become equally important.
AI literacy does not require everyone to become a programmer or data scientist.
Instead, it focuses on helping people understand:
what AI can and cannot do
how AI systems learn from data
where bias or errors might occur
how to question and verify automated outputs
This knowledge helps individuals remain informed and confident users of digital systems.
Creating Safe Spaces to Explore AI
One of the most effective ways to support communities in understanding new technologies is through safe, supportive environments where people can explore and ask questions.
Community workshops, digital hubs, and learning programmes can provide opportunities for people to experiment with AI tools while receiving guidance from trusted facilitators.
These environments can help individuals:
explore AI-powered tools without pressure
understand both the opportunities and risks of AI
develop confidence interacting with intelligent systems
see how AI might support everyday tasks
The goal is not simply to promote AI adoption, but to ensure that people can engage with technology critically, safely, and confidently.
Looking Ahead
Artificial intelligence will likely continue to transform many aspects of digital life in the years ahead.
As this transformation unfolds, digital inclusion efforts must evolve alongside it.
Ensuring that communities can understand and navigate AI-powered systems will be essential to maintaining equitable access to digital services and opportunities.
At IFB Gaming, we are interested in exploring how emerging technologies like artificial intelligence intersect with community learning, digital inclusion, and the broader digital society.
The future of digital inclusion may not only be about getting people online.
It may also be about helping people understand the intelligent systems that increasingly shape the online world.
In today’s blog update, we delve into a fascinating concept that’s transforming the way we view business success— the Triple Bottom Line (TBL).
This framework goes beyond traditional profit-centric approaches, emphasising a broader spectrum of values. Now, let’s dissect the concept and explore its implications for businesses, institutions and governments aiming to make a positive impact on their communities, economy and the world.
Understanding the Triple Bottom Line (TBL)
The Triple Bottom Line (TBL) is a framework for evaluating organisational performance based on three interconnected dimensions: social, environmental, and financial. Developed by John Elkington in 1994, the TBL concept proposes that businesses should not only measure their success based on financial profits (the “bottom line”) but also consider their impacts on people (social) and the planet (environmental).
People: At the heart of the TBL is a commitment to social responsibility. Businesses are recognising the importance of fostering positive relationships with employees, customers, and the broader community. From fair labour practices to community engagement initiatives, the People aspect of the TBL acknowledges the profound impact businesses can have on individuals and society.
Planet: Acknowledging environmental sustainability is a crucial component of the TBL. Companies are increasingly adopting eco-friendly practices, reducing their carbon footprint, and incorporating sustainable sourcing and manufacturing processes. The Planet aspect recognises that a healthy business environment is intertwined with a healthy global environment.
Profit: While the TBL expands the scope of business considerations, it doesn’t neglect the financial bottom line. Profit remains a crucial factor, but within the TBL framework, it is viewed in conjunction with social and environmental impacts. Businesses are encouraged to find a harmonious balance where financial success aligns with positive contributions to society and the environment.
Benefits of the Triple Bottom Line:
Enhanced Reputation: Embracing the TBL can bolster a company’s reputation. Consumers and investors increasingly gravitate towards businesses with a commitment to ethical practices, sustainability, and social responsibility.
Risk Mitigation: Considering the broader impacts of business decisions helps mitigate risks. Companies that proactively address social and environmental concerns are better positioned to navigate evolving market expectations and regulatory landscapes.
Employee Engagement: Businesses prioritising the People aspect of the TBL tend to foster a positive workplace culture. Engaged employees contribute to innovation, productivity, and overall business success.
Long-term Sustainability: Embracing the TBL positions businesses for long-term sustainability. By addressing social and environmental challenges, companies can contribute to a healthier planet and society, creating a legacy that transcends immediate financial gains.
Challenges and Considerations:
While the TBL offers a holistic approach, it’s not without challenges. The TBL framework encourages organisations to adopt a more holistic and integrated approach to decision-making and performance evaluation, balancing economic prosperity with social responsibility and environmental stewardship. By considering the triple bottom line, businesses can better understand their overall impact on society and the environment, identify opportunities for improvement, and create long-term value for stakeholders, communities, and the planet.
Balancing competing priorities and measuring social and environmental impacts can be complex. However, the growing acknowledgement of the TBL’s importance signals a paradigm shift in how businesses define success.
In conclusion, the Triple Bottom Line challenges us to move beyond the narrow focus on profits and consider the broader implications of business activities. As consumers, employees, and investors increasingly demand responsible practices, the TBL provides a roadmap for businesses to thrive while making meaningful contributions to people, the planet, and profit.
Thank you for joining us in exploring this transformative concept.
Technology is evolving rapidly, and terms such as Artificial Intelligence (AI), Augmented Intelligence, and Augmented Reality (AR) are increasingly used in conversations about the digital future.
Although these concepts sound similar, they refer to very different technologies and purposes. Understanding the differences can help individuals, communities, and organisations better navigate the changing digital landscape.
Below is a simple explanation of how these three technologies differ.
Artificial Intelligence (AI)
Artificial Intelligence refers to computer systems designed to perform tasks that normally require human intelligence.
These tasks can include:
analysing large amounts of data
recognising patterns
learning from information
making predictions
understanding natural language
solving complex problems
AI systems are trained using data and algorithms that allow them to improve their performance over time.
Today, AI powers many tools and services people use every day, including:
virtual assistants such as Siri or Alexa
recommendation systems used by streaming platforms
customer service chatbots
fraud detection systems in banking
autonomous and self-driving technologies
In most cases, AI operates behind the scenes within digital systems, helping computers process information and make decisions more efficiently.
Augmented Reality (AR)
Augmented Reality is a technology that enhances the real world by overlaying digital information onto a user’s physical environment.
Using devices such as smartphones, tablets, or AR glasses, digital elements — including images, text, sounds, or animations — can be layered onto what a person sees in the real world.
Augmented Reality does not focus on decision-making or intelligence. Instead, it enhances how we experience and interact with our surroundings.
Examples of AR include:
mobile games such as Pokémon Go
navigation apps that display directions over real-world environments
educational tools that visualise complex concepts
retail applications that allow users to preview products in their homes
AR creates an interactive bridge between the digital world and the physical world.
Augmented Intelligence
Augmented Intelligence refers to the use of artificial intelligence to support and enhance human decision-making, rather than replacing human judgement.
Instead of viewing AI as a substitute for human thinking, augmented intelligence focuses on collaboration between humans and intelligent systems.
In this approach, AI tools assist people by:
analysing large datasets quickly
identifying patterns humans might overlook
providing insights and recommendations
automating repetitive tasks
Humans remain responsible for interpretation, judgement, and final decisions.
Augmented Intelligence is increasingly used in fields such as:
healthcare diagnostics
financial analysis
scientific research
business decision-making
customer service support
The goal is not to replace human expertise, but to empower individuals with better information and insights.
Key Differences at a Glance
Technology
Main Purpose
Example Uses
Artificial Intelligence (AI)
Enables computers to perform intelligent tasks
chatbots, recommendations, autonomous systems
Augmented Reality (AR)
Enhances real-world experiences with digital overlays
gaming, navigation, education
Augmented Intelligence
Uses AI to support human decision-making
healthcare analysis, business insights
Why These Technologies Matter
As these technologies continue to develop, they are becoming increasingly embedded in everyday digital systems.
Understanding how they differ helps individuals, organisations, and communities make informed decisions about how technology is used and how it can be applied responsibly.
At IFB Gaming, we are interested in helping communities explore emerging technologies in ways that support learning, creativity, and digital inclusion.
As technologies such as AI, AR, and augmented intelligence evolve, building awareness and confidence around them will be an important step in ensuring that everyone can participate in the digital future.
At IFB Gaming, we understand that entering the world of technology and gaming can sometimes feel like stepping into a maze of acronyms and technical jargon. One term you have probably come across is AI, short for Artificial Intelligence.
But don’t worry — today we’re going to break it down in a simple way so that anyone, even beginners, can understand what AI is and why it matters.
What is AI, Anyway?
Artificial Intelligence, or AI, refers to computer systems that can perform tasks that normally require human intelligence. These tasks can include learning from information, recognising patterns, solving problems, and making decisions.
Think of AI as the “brain” behind a computer system.
Just as humans learn from experience and information, AI systems can analyse data and improve their performance over time. This allows computers to complete tasks in smarter and more efficient ways.
AI can help with many things, including:
answering questions
recommending movies or music
recognising voices and images
helping cars navigate roads
supporting medical research
powering digital assistants
In simple terms, AI is like having a smart digital helper that can learn from information and assist with complex tasks.
AI in Gaming
AI plays a major role in the gaming world.
When you play a video game and interact with characters that are controlled by the computer, those characters are often powered by AI. These are called Non-Player Characters (NPCs).
AI helps these characters behave in ways that feel realistic. For example, AI can control how enemies react, how teammates support you, or how characters respond to different situations in the game.
Without AI, games would feel predictable and repetitive. With AI, games can adapt to your actions, making the experience more exciting and immersive.
AI in Game Design
AI is not only used to control characters; it is also used to design better games.
Game developers use AI to:
create dynamic storylines
build realistic environments
test game mechanics
personalise gameplay for players
For example, AI can adjust the difficulty of a game depending on your skill level. If a game is too easy, the AI can make it more challenging. If it becomes too difficult, the AI can adapt to keep the experience enjoyable.
This helps create games that feel balanced, engaging, and personalised for each player.
In this Battlefield Co-op Gameplay video, the players navigate their way through AI-controlled opponents to rescue an Ambassador
In this video, the players navigate their way through AI-controlled opponents to rescue an Ambassador
AI Beyond Gaming
Although gaming is a great example of AI in action, artificial intelligence is used in many other areas of everyday life.
You may already interact with AI through:
voice assistants like Siri or Alexa
streaming recommendations on Netflix or Spotify
search engines
navigation systems
customer service chatbots
AI is becoming part of many digital services, helping systems respond faster, make better recommendations, and assist people in completing everyday tasks.
Why AI Matters for Digital Inclusion
As artificial intelligence becomes more common, it raises important questions about digital inclusion.
For many years, digital inclusion focused on helping people gain access to the internet, devices, and basic digital skills. That work remains essential.
However, as AI becomes embedded in services such as healthcare, education, banking, and public services, people will also need to understand how AI systems work and how to interact with them safely and confidently.
Communities that have only recently gained digital access may face a new challenge if AI systems become widespread without proper support.
This means that community organisations, schools, libraries, and digital inclusion programmes may soon play an important role in helping people:
understand AI-powered tools
question automated information
recognise misinformation
protect their personal data
build confidence when interacting with intelligent systems
Digital inclusion is therefore evolving. It is no longer only about accessing technology, but also about understanding the systems that shape the digital world.
Getting Started wirh AI
AI has been developing for many years, and it continues to evolve rapidly. The good news is that you don’t need to be a programmer or scientist to start exploring it.
You can begin by:
experimenting with AI tools
learning how recommendations work
exploring how AI appears in games and apps
asking questions about how technology makes decisions
The more you understand AI, the more confident you will feel navigating today’s digital world.
Our Commitment at IFB Gaming
At IFB Gaming, we are committed to helping communities, learners, educators, policymakers, charities, and researchers explore emerging technologies in ways that are accessible and inclusive.
We believe that understanding technologies like artificial intelligence can empower individuals and communities to participate more confidently in the digital future.
So keep exploring, stay curious, and remember:
AI can be a powerful sidekick in the digital world — helping us learn, create, and solve problems in new and exciting ways.
Stay tuned for more insights and resources from IFB Gaming.
