Artificial Intelligence And Algorithmic Irresponsibility: The Devil In The Machine?
The classic 1995 crime film The Usual Suspects revolves around the police interrogation of Roger “Verbal” Kint, played by Kevin Spacey. Kint paraphrases Charles Baudelaire, stating that “the greatest trick the Devil ever pulled was convincing the world he didn’t exist”. The implication is that the Devil is more effective when operating unseen, manipulating and …
Why 87% Of Machine Learning Projects Fail
This article will serve as a lesson on the shocking reasons for your AI adoption disaster. We see news about machine learning everywhere. Indeed, there is lot of potential in machine learning. According to Gartner’s predictions, “Through 2020, 80% of AI projects will remain alchemy, run by wizards whose talents will not scale in the organization” and Transform …
Use Of AI To Fight COVID-19 Risks Harming ‘Disadvantaged Groups’, Experts Warn
Rapid deployment of artificial intelligence and machine learning to tackle coronavirus must still go through ethical checks and balances, or we risk harming already disadvantaged communities in the rush to defeat the disease. In a health crisis of this magnitude, the stakes for fairness and equity are extremely high Alexa Hagerty This is according to …
‘Potential For Harm’: Microsoft To Make US$22 Billion Worth Of Augmented Reality Headsets For US Army
Microsoft has reportedly been awarded a ten year contract worth close to US$22 billion, to provide 120,000 military-grade augmented reality (AR) headsets to the US Army. Popularised through mobile apps such as Pokémon Go and face filters on social media, AR technology is fundamentally about superimposing digital images over real-world environments. The AR interface commissioned …
What’s the Difference Between AI And Machine Learning?
It’s nearly impossible to have a conversation about technology without mentioning artificial intelligence (AI) or machine learning (ML). These terms are cropping up everywhere in conversations about how tech is changing the world and streamlining our lives. However, AI and ML are often used interchangeably, making the difference between the two even less clear. In this post that explores …
4 Steps To Using AI In An Environmentally Responsible Way
Artificial Intelligence can sustain the environment by helping to reduce GHG emissions and optimize the use of natural resources. However, AI can have unintended consequences – such as by increasing demand and thus increasing carbon footprint. This four-step plan can ensure AI can be deployed in a responsible way. With Artificial Intelligence (AI), a software …
AI Is Here. This Is How It Can Benefit Everyone
Artificial Intelligence can improve lives, but to avoid issues such as accuracy, human control, transparency, bias and privacy challenges, its use needs to be carefully and ethically managed. One way to do this is to set up a national “Centre for Excellence” to champion the ethical use of AI and help roll out training and …
AI And Machine Learning Are Our Best Bet To Keep Saving The World From Climate Catastrophe
Many equations apply to Nuclear Fusion including the Maximum Entropy Principle. Fusion increases entropy. Think of unsolved equations relating to Nuclear Fusion as hardness problems. Whoever solves these problems or contributed towards software that solves these problems, helped achieve one of the biggest tasks in modern engineering and physics this century. I will be honest, many …
Artificial Intelligence Business Opportunities: 10 Steps To Implement
Creating a smart algorithm is not yet a given for many entrepreneurs and small businesses, who might lack the resources to launch a successful Artificial Intelligence program. Much like the rest of the world, Artificial Intelligence (A.I.) has a 1% problem. While (very) large corporations benefit from the vast amount of data available to them, as well …
Top 10 Data Scientist Skills to Develop to Get Yourself Hired
In my previous story Data Scientist — 12 Steps From Beginner to Pro I described how to master a profession from scratch. In this article, I will focus on the key skills required to become a Data Scientist. ? Hard Skills ? 1. Mathematical base Knowledge of machine learning techniques is an integral part of the Data …