… user insights, as well as artificial intelligence and machine learning to take a radically different, holistic approach to wellness that is …

Artificial Intelligence has become so integrated into the technology stack that it goes largely unnoticed. When you take a picture with a newer iPhone, for instance, the phone collects a couple of frames and analyses it at the pixel level to identify what is in the scene and balance the exposure to produce a crisp, detailed final picture. All this happens in a fraction of the time it took you to read that sentence. Outside of turning you into a better photographer, AI is verifying your identity and enabling all the smart solutions that make your personal admin more convenient. There's an AI engine doing an instant credit assessment to approve your application in minutes.

Responsible artificial intelligence (AI) provides a framework for building trust in the AI solutions of an organisation, according to a report from Accenture. It is defined as the practice of designing, developing, and deploying AI with good intention to empower employees and businesses, and fairly impact customers and society. In turn, this allows companies to stimulate trust and scale AI with confidence. With technology starting to become commonplace, more organisations around the world are seeing the need to adopt responsible AI. For example, Microsoft relies on an AI, Ethics, and Effects in Engineering and Research (Aether) Committee to advise its leadership on the challenges and opportunities presented by AI innovations. Some of the elements the committee examines is how fairly AI systems treat people, the reliability and safety of AI systems, how AI systems empower employees to engage with one other, and how understandable AI systems are.

The mention of the words Artificial Intelligence (AI) conjures up science fiction-like images in the minds of many people, but it is becoming a very real part of day to day life without us even realising it. AI is and has been making a lasting impression on a number of key industries, not only streamlining otherwise tedious processes but also changing the way business is conducted on a much larger scale. Elnur Amikishiyev via 123RF 1. Education AI will likely be used predominantly to take the labour out of admin during the early stages of implementation, taking over things like grading assignments, recording marks, and any other computational tasks where machines could surpass people. The human element, however, will remain a constant in the form of teachers who will have greater freedom to focus on students' individual needs and finding ways to fill gaps in learning. Most notably AI is used to mark multiple-choice tests, but advancements in machine learning could soon enable it to evaluate and efficiently mark written responses. The technology could also be utilised to make the enrollment and admissions processes at educational institutions more efficient.