Artificial intelligence (AI) is on the front lines of so much these days. From helping in the global fight against COVID-19 to improving manufacturing, AI is rapidly changing the world as we know it. This interesting topic came to us from Coda in their article, “From mythology to machine learning, a history of artificial intelligence.”
Not everyone is comfortable with this new reality. Recent scientific studies testing the technology’s ability to evolve on its own has caused some concerns. With each advancement, new concerns as to who is in control and how it will affect the lives of ordinary people grow.
This really stems from the fact that most organizations have little visibility and knowledge on how 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 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 potential biases. This is important when the results can have an impact on data security or safety.
Melody K. Smith
Sponsored by Access Innovations, changing search to found.
