Georgian Technical University Bringing More Human Intelligence To AI, Data Science And Digital Automation.

The latest advances at the intersection of postgenomics medicine, biotechnology and global society including the integration of multi-omics knowledge data analyses and modeling and applications of high-throughput approaches to study complex biological and societal problems.  The advent of data science, wireless connectivity and sensors, artificial intelligence (AI) and the Internet of Things (IoT) has raised the prospects for digital automation smart hospital design and the home health care industry for an aging population. A new horizon scanning analysis described why artificial intelligence (AI) data science and digital automation need more of the human element. The horizon scanning technology analysis suggests several strategies such as routine use of metadata so that artificial intelligence (AI) data science and automation can work together with human intelligence (HI) thus effectively and sustainably serving modern healthcare, patients and laboratory medicine.  X Ph.D: “These are exciting times for innovation in healthcare and laboratory medicine. But we also need social innovation in new technology design and implementation. artificial intelligence (AI) data science and digital automation would best serve medicine, healthcare and industry if they were informed by the human element and human intelligence (HI) to a greater degree. Human Intelligence (HI) is also important to prevent type 3 (framing) errors in artificial intelligence (AI) and digital automation that is ‘finding the right answers for the wrong questions'”. Artificial Intelligence (AI) machine learning and digital automation have also been featured in several other leading.