Technology innovation is critical to all kinds of businesses around the world and greatly impacts our society. In fact, we are living in one of the most disruptive periods of tech evolution since the Internet first entered the scene decades ago. This interesting topic came to us from Science in their article, “Leveraging technology to address current and future world issues.”
Technology has become a critical tool to improve our collective response to emerging crises. Although COVID-19 is better, it is not over. We will likely face additional societal emergencies in the coming decades.
We know that emerging technologies can impact society in a big way. Industries such as education, healthcare, manufacturing are witnessing huge digital transformation by the day. But with that, there are many challenges and obstacles to overcome. Trust is one of them, as many people are still skeptical about the real reasons behind technology and their usage in the first place.
Most organizations are still learning how emerging technologies like artificial intelligence (AI) systems make the decisions they do, and as a result, how the results are being applied in the various fields that AI and machine learning are being applied. Explainable AI is used to describe an AI model, its expected impact and potential biases. Explainability becomes critical when the results can have an impact on data security or safety.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.