Emerging technologies have become a cornerstone of modern life, influencing everything from how we communicate to how we solve some of the world’s most pressing challenges. These technologies, which include artificial intelligence (AI), blockchain, the Internet of Things (IoT) and biotechnology, among others, are rapidly evolving and integrating into various sectors. Their prevalence is not just reshaping industries but also redefining societal norms and expectations. This interesting news came to us from The Express Tribune in their article, “AI tops World Economic Forum’s list of top 10 emerging technologies of 2024.”

AI is arguably the most transformative technology of our time. AI’s applications are vast, spanning from simple virtual assistants like Siri and Alexa to complex machine learning algorithms that drive autonomous vehicles. The integration of AI in healthcare has led to advancements in diagnostic accuracy and personalized medicine, while in finance, AI algorithms are revolutionizing trading and risk management. The ability of AI to process and analyze large datasets quickly and accurately is helping organizations make better decisions and improve efficiency.

As AI, blockchain, IoT and biotechnology continue to evolve, they hold the potential to solve some of the world’s most complex problems and improve the quality of life for millions. However, it is essential to navigate the challenges they present with thoughtful consideration and proactive measures. By embracing these technologies responsibly, we can harness their power to build a more innovative, efficient and equitable future.

The biggest challenge is that most organizations have little knowledge on how AI systems make decisions and how to interpret AI and machine learning results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and it potential biases. Why is this important? Because explainability becomes critical when the results can have an impact on data security or safety.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.