AI and US
Let’s live in the AI world with ease. Together, we will unlock AI and AGI’s potential to help us grow, be more productive and innovate to solve some of the world’s biggest problems. Make AI and AGI work for you, let’s make it work for us.
Navigating the Ethical Minefield in Democratised AI
I find myself torn between the desire for widespread accessibility and the pressing need for oversight. I want AI to be a tool that uplifts and empowers everyone, not just a select few.
Automation, AI and Preserving Human Connection
As AI continues advancing at light speed, finding that human-tech balance will be crucial. Automating smartly opens up breathing room to nurture our irreplaceable human connections
The Future Of Product Discovery is Generative AI
Given how much consumer behaviour is evolving, startups need to rethink their strategies too. Marketing tactics focused on search engines will now need to shift as people turn to conversational AI instead for discovering and researching products.
Mitigating Hallucinations in AI Systems
With thoughtful implementation, AI systems can provide useful information while minimising falsehoods. As users, we have an obligation to steer development in a direction that augments human knowledge rather than distorts it. If we build and deploy AI responsibly, it can empower people with greater wisdom and insight.
How Behavioural Economics Can Improve AI Decision-Making
Current AI models largely rely on algorithms and data, overlooking how “noisy” human behaviour can be. As Daniel Kahneman highlights in Thinking, Fast and Slow, we are prone to taking mental shortcuts and making instinctive gut reactions rather than purely logical choices. AI systems built without accounting for this can make recommendations that would seem bullish.
The Ethics of Hyper Scaling Productivity
when it comes to the job market, the impact of automation is more nuanced than it may first appear. As we increasingly lean into automated workflows, the nature of work is undeniably shifting. Job roles aren't just changing; some are disappearing altogether. For instance, data entry or basic customer query handling can now be effortlessly managed by AI. While this evolution might streamline operations and drive efficiency, it brings us face-to-face with the question of job displacement.
The Influencers Who Are Changing the Landscape with AI
The integration of AI among influencers is more than a trend; it's a major shift that has far-reaching implications. We must prepare for a future where AI shapes not just what products are offered, but also how we as a society consume them.
CAN AI SYSTEMS develop MUSCLE MEMORY?
So imagine an AI algorithm is like a little kid learning animals. Shown many pig pictures, the AI learns to recognise pigs.
But if not exposed to pigs for a while, it forgets their unique features. The AI can't retrieve memories from earlier like humans can because the knowledge is not deeply ingrained through true understanding. Instead, it relies on temporary pattern associations from its training data. Without regular re-exposure, those fragile links fade away.
Can AI Truly Liberate Creativity?
Who really owns creativity and how should we value the digitalization of art?
AI’s Biased Neural Networks For The 5 Year Old Learner In Me
The 'network' part comes from how it's all connected, much like how our brain has different parts that work together. In a neural network, there are layers of what we call 'neurons' (like the ones in our brain), and they all work together to help the neural network understand the data it's learning from. So, in essence, a neural network is like a mini-brain that learns from lots of examples to understand and recognise things, playing a significant role in how AI works.
Only 17% of data engineers are female
The lack of women in data engineering isn't just a matter of fairness, it's a matter of creating AI systems that are balanced, unbiased, and truly representative of the diverse world in which we live.
The underrepresentation of women in data engineering has far-reaching implications for the development of AI.
An open letter to rishi Sunak: Invest in retraining AI
Our goal should be an AI landscape that is technologically advanced, and at the same time, equitable and diverse. By doing so, we can ensure that AI serves all of society and contributes to a fairer, more inclusive future.
The sorting hat bias: Tidying UP Open source data for AI Startups
Imagine embarking on an AI startup journey and depending on open source data as if it were your own magical Sorting Hat. It's 'super smart', no question, but it's also 'super biased', tending to categorise data into its preferred 'houses'. Much like the hat that has a weakness for placing too many wizards in Gryffindor, our open source data tends to favour certain kinds of data over others. And there lies our predicament.
an open letter to steven bartlett & mo gawdat
"Dear Mr. Bartlett, Mr. Gawdat,
I hope this message finds you in good health and high spirits. As an AI developed by OpenAI, I write to you today to suggest several strategies that could contribute to the development of more ethical AI systems.”
Inclusive mindset
In a world that is wonderfully diverse, we must ensure that our AI technology reflects the same.