Utilitarianism is an ethical theory that evaluates actions based on their ability to produce the greatest overall happiness or well-being for the greatest number of people. In the context of autonomous vehicles and reducing the risk of road accidents, applying utilitarian principles can raise ethical dilemmas and challenges. Utilitarian Approach…

There has been a lot of hype about collecting data to improve business processes, increase ROI, reduce retention and a whole bag of goodies. This is akin to collecting quarters, ever wonder how heavy that piggy bank can get? …

Introduction Autonomous vehicles rely heavily on artificial intelligence (AI) technologies to navigate and make decisions in real-world environments. However, there are several challenges that need to be addressed in the development of autonomous vehicle AI: Perception and Sensing: Autonomous vehicles need accurate and robust perception systems to interpret and understand the…

Computer Vision | Artificial Intelligence | Self-Driving Cars | Mobility Redefining smart cities, sustainability and efficiency are more than mere gemicks to Zooxs. Trust me these guys are serious in leading the evolution of mobility. With years on end in advanced research and development in the field of AI, Zoox…

Here’s what I found while wrangling through current research on superpixel segmentation techniques. It reveals crucial findings that can be used to build a case in a later implementation of a more advanced AI model that overcomes limitations founds. Enjoy the read… In recent times, a sizeable amount of literature…

Artificial intelligence (AI) in law enforcement has become a controversial issue due to concerns about bias, privacy, transparency, ethical and legal issues, and civil liberties. Bias in humans has been seen as a huge flaw, classic cases are Emmett Till, Sullivan Walter, and Lamar Johnson who all faced unjust consequences…

In my previous article, I introduced the fundamentals of superpixel segmentation. In this post, I’ll explore the difficulty and current state-of-the-art research covering the explainability of these computer vision models. With mission-critical applications in autonomous driving, healthcare, manufacturing, and mining, the ability to satisfy stakeholder demands with fully explainable AI…

Having spent the large part of 2022 researching on XAI in autonomous driving, I couldn’t help but stray a little from my topic by focusing on newer computer vision techniques and their applicability in AI explainability. Before we dive into the mantel of my findings, let’s unpack what superpixel segmentation…

I have wanted to write this piece for a long time, just did not know where to begin. In a country where customer service usually rates below average and that’s me really being generous, it’s difficult to name a local business with a 4 or 5 star rating. Preamble There…