Many governments are seeing strategic value in artificial intelligence and are looking to incorporate machine learning and cognitive technologies to help deliver effective citizen services. Both local and national governments see AI as an economic driver but it will also have an impact on the workforce. With governments can leverage advanced intelligent technologies to enhance government services many current struggles of governments, such as budget and resource contracts, can be addressed.
As our planet contends with resource scarcity, a potential solution can be found by traversing the great unknown -- outer space.
I. Setting the Stage
Healthcare is a rare bird. We can neither disregard it nor make it cheap, simple and safe (Fernandez et al., 2012). In fact, we globally spend more than 10% of the GDP in healthcare and about $1,000 per capita every year (World Health Organization, 2018).
Read Chuck Brook's A Scoville Heat Scale For Measuring Cybersecurity and Jim Sinur's Is AI Data Driven, Algorithm Driven, or Process Driven? View
At the Future of Blockchain and DLT Technology panel at this year's Crypto Invest Summit (CIS), Barbara Bickham made a prediction:
Do You Trust a Machine?
Like most things in life, the answer is probably: “it depends.” We would probably trust a machine to maintain room temperature, find us a restaurant, or even fly a plane. But how about provide healthcare services? Or drive a car? One of the most fundamental values of doing business and providing value to customers is trust, and artificial intelligence is the most-heavily debated technology regarding ethical concerns and related trust issues.
Semantics provides a way of defining the languages that you use for describing your business or organizational processes, for describing domains of knowledge, and for managing processes and resources at a global level. Central to this is the concept of an ontology - a specific data model (or set of interconnected models) that serve to provide the metadata to accomplish those semantics.
Smart technology is on its way challenging, convincing and converting the human ecosystem in cyberspace, aquaspace, geospace and space (CAGS). As smart technology today enables humans in many ways to define and determine our ecosystem beyond CAGS, it is essential to understand and evaluate its impact on nations in the coming tomorrow.
In the U.S., most of the critical infrastructure, including defense, oil and gas, electric power grids, health care, utilities, communications, transportation, education, banking and finance, is owned by the private sector (about 85 percent according to DHS) and regulated by the public sector. The public and private relationship in operating and protecting critical infrastructure requires a strong working partnership.
There are those that think that data is the oil of AI and the focus should be clean data, data science and deep understanding of what the data means. There are those that say data is meaningless without context that can be with other data, models/algorithms or processes. Let’s explore the arguments in a concise fashion to discover the advantage of each view.