Artificial intelligence (AI), which has revolutionised the way individuals and organisations conduct their day-to-day business, has proven that it’s more than just a fad. 

It has become a critical, powerful, and transformative technology that has permeated our lives in a plethora of ways, from AI-powered chatbots that help us with our customer service needs to AI fraud detectors that analyse transaction patterns to detect unusual and malicious activities.¹  This technology also enables organisations to improve the quality and speed at which work is produced, surpassing human performance on several tasks, including image classification, visual reasoning, and English understanding.²

In a short span of time, AI has achieved great heights. Last year alone, we saw the following AI-powered feats:

• Apple unveiled its own AI system, Apple Intelligence, that brings new features to users including Summaries (single-sentence summaries of messages) and a new-and-improved Siri, to name a few.³
• Institut Curie researchers use AI tools to help them accomplish time-consuming administrative tasks, improve supply chain management, and conduct more efficient and comprehensive cancer research.⁴ 
• Two Google DeepMinders, co-founder and CEO Demis Hassabis and Senior Research Scientist John Jumper were jointly awarded the Noble Prize in Chemistry with University of Washington’s David Baker for their work in predicting and developing new proteins.⁵

However, despite the many AI achievements, there were also many AI failures in the last year, encompassing projects, trials, and applications that did not work out as planned. 

This article discusses the various AI fails of last year and how AI should be partnered with other robust technologies such as 5G to ensure that AI applications work swiftly, securely, and successfully.