In November 2022, the launch of ChatGPT marked a groundbreaking milestone in AI, highlighting the need for the evolution of global AI regulations. In fact, demand for this evolving technology is so substantial that Gartner estimates more than 80% of enterprise companies will have utilized Generative AI APIs or deployed Generative AI-enabled applications by 2026. […]
Global AI Regulations: Navigating the Next Frontier Read More »
Artificial intelligence (AI) is everywhere and is becoming increasingly present in our daily lives. From personalized recommendations on Netflix to virtual assistants on our smartphones, AI is changing the way we interact with technology. With our growing reliance on AI comes important questions about how it should be regulated and used. In this blog, we’ll
The EU AI Act and its Potential Impact on Enterprises Harnessing the Power of AI Read More »
AI and gender bias is a prevalent issue that impacts several aspects of our lives: from the design of products to the type of services provided to each respective gender. It often reflects and amplifies existing gender biases and stereotypes in society. The gender data gap can cause significant issues and complications with results of
The Gender Data Gap in AI: Confronting Bias in Machine Learning Read More »
The ever-growing presence of technology in our daily lives has sparked discussions among many about how it affects the environment. Being able to measure, control, and ultimately reduce the carbon footprint of your product or service is not only a responsible stance to take, it can actually bring tangible benefits to the business. Quantifying ML
The Environmental Impact of ML Inference Read More »
Only 22% of AI professionals are women. Artificial intelligence (AI) and machine learning (ML) are fields that have traditionally been male-dominated, but that’s starting to change. Today, there are many talented and successful women leaders in AI and ML who are making a significant impact on the industry and are inspiring others to follow in
7 Women Leaders in AI/ML to Follow Read More »
Four principles for deploying AI responsibly Telecoms.com periodically invites expert third parties to share their views on the industry’s most pressing issues. In this piece Alejandro Saucedo, Machine Learning Engineering Director at Seldon, looks at best practice for the use of ethical ai. Artificial Intelligence (AI) is in the process of transforming every industry, with over one
Four principles for deploying AI responsibly Read More »
AI Bias appears in machine learning in lots of different forms and in a world that is increasingly becoming more reliant on this type of technology, it’s important to understand the most common types of bias. But as a place to start, the important thing to consider is that training a machine learning model is
Six Types of AI Bias Everyone Should Know Read More »
Machine learning is becoming integral to how the modern world functions, with more and more sectors harnessing the power of algorithms to automate tasks and make decisions. As machine learning models become ingrained within decision-making processes for a range of organizations, the topic of bias in machine learning is an important consideration. The aim for
Machine Learning Bias and Fairness Read More »
Over the last few years, there has been a distinct focus on building machine learning systems that are, in some way, responsible and ethical. The terms “Bias”, “Fairness” and “Explainability” come up all over the place but their definitions are usually pretty fuzzy and they are widely misunderstood to mean the same thing. This blog
Bias vs Fairness vs Explainability in AI Read More »
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