From Artificial Intelligence to Digital Intelligence
The future of workforce is threatened by AI solutions, we hear such news flooding our mailbox, professional communication at online media and events. The risk lies behind the fact the AI can replace more and more sophisticated work situations. Development of programmable and reusable algorithms can find similarities in data structures, dynamic dataflows, greater and greater fractions of business processes. Not a long ago we were only talking about AI’s emerging role in repeated and simple duties in manufacturing industry. From the second half of this decade there are tangible evidences of AI utilization in sensitive core of legal services, healthcare, life science research and more. The simple fact that in 10 years over 75% of work positions will disappear shall mean that society faces to massive unemployment crisis? Give it a try and dig out the positive effects of AI technologies and AI services. How this new phenomenon stimulates the creation of new workplaces that never existed before.
Design of 21th century life
Industry revolution is closely related to new technologies but there is a wider context that shall be taken care. First of all new social paradigm necessitates new model of education that shapes the competence and thinking of new generation. Peter Sloterdijk German philosopher writes about the 20th century that one of the tree contribution of mankind is the concept of design that influences well even our 21st century. The proceeding of AI matters can be ordered under the abstract category of design. The learning algorithms were introduced in the middle of 20th century and even the neural models, the latest model for deep learning is not a newcomer in the science. But why have they come into application just recently and are penetrating with high speed nowadays? Because we are tend to redesign the way of living and we reimagine the concept of conform. In our social life we want to save time with finding the right place the right product and so on. This fast matching has become available with processing a great amount of digital footprint (our behavioural track on internet) and get a quick help. That help to name it simply a sophisticated note that originates from all data sources and data structures what we generate ourselves. The same is valid for machine generated data. information produced by sensors at home, in our mobile phone and other devices. These vast variety of appliances are serving us through are passage of everyday living. And design-thinking changes tangibly the style and content of learning. First we started to consume knowledge online in smaller and digestible portions. In the last 30 years many education institutes arose with blended online and classroom courses and today it is evident that we can enroll even to high education that offers pure online style learning. Education has been just redesigned to fit our new lifestyle. Many if not all pillars of out life context can be further polished with AI systems, as we generate many data with high diversity. Probably we did it first at e-commerce, just mention one evident example, and this precedence rapidly continued and covered our whole social territory. While developing further, education is talking about analytic learning process, which means that AI systems analyze all relevant data the human brain can not process on paper and outputs recommendation to experts to conclude most accurate decisions for improving learning processes.
Some more AI trends
No surprise that healthcare in renewed by intelligent programmed algorithm. Physician do not always need to visit his patience. There are cases when regular and fast diagnostic is made by small body sensors and the result is analyzed by intelligent computers, new fashion of healthcare applications. In case of suspicious patterns the system sends alert signal to the doctor and then he follows a more detailed and efficient human intervention, a direct, personal control of the selected case. There are examples when a disease is analyzed by and artificial algorithm, e.g. a chest radiograph is sent to a datastore and a computer checks after similar cases and gives analysis based on past, similar examples. But robots can learn the surgery protocol as well, and be present as a reliable assistant for routine tasks.
The above examples are beautiful in terms of new application in different areas of AI. There are more and more such good and promising stories. But look a bit behind the curtains and analyze the real amount of human involvement of “redesign” of our life into a more advanced 21th century style. How can we integrate AI safely into our social life and how can we build a new industrial revolution that assures positive outcome.
Reliability issues
The development of technology enabled more access to digital resources like computing power, data storage, distributed communication infrastructure. On these pillars cloud services are build which efficiently perform in rental model. Many services just specifically focus on AI solutions. Just store you data and find the ready-made template of analysis and pay for it. That is the simple model in the age of awakening AI hype. In the same time we inevitably experience problems arising. Too many data is difficult to control and hand it over securely out of our safe garden. More data is processed with less control in midst the threat of terrorism, fraudulent data usage, escorded with data leakage skandals. Security is only one of the problem of IT centric world that, there is a range of other that escalated quickly by AI style volume computing. Big data related job competencies are reinvented in a rapid manner. Amongst the employees, experts working on these knowledge area there are few who really have deep inside of what the intelligent algorithms are doing. Just picking one can lead to false result any time, maybe just randomly. And a running AI service can cause surprise to the user, to all one who rely on it. The reliability of AI services raise a risk factor that can not be handled and analyzed independent of its essential specialities. Development and control of intelligent machines and services are built on a chain of algorithms that are to be tested and operated in a new way. If we imagine that this partially independent, self-decided services are going to influence our life we can accept that many new style of expert are needed to keep this power under control. If we compare this new technology to the nuclear power plant, AI can be more dangerous if we lose control. It took 50 years to settle the rules of safe regulation of nucleus power. Now we have much less time to regulate AI controls in consideration of all necessary aspects. We lose craftsman and white collar workers cased by automation, and we need new staff who will work on new duties related to intelligent computer technology.
New culture and governance around AI
First we need to find the precise context of artificial intelligence, so that education shall work together with industry experts of many principles and be very efficient in innovation of learning material. We can call it educational revolution and cultural redesign of cooperation between industry and education. The role of government are tremendous of importance, as they have to realize the benefit and threat of arising technology and update legal conditions, governance practices, public - private cooperation models on not just national but global level. Otherwise all efforts of national governments will be useless or at least greatly vulnerable.
Good sign of progress and implication how big is the challenge that organization are founded around this great topic. The purpose of this new bodies are the further clarification of AI context, the effect on our life and recommendation for the right use of this power.
Internet Society itself is not new, their principal rationale is to provide an organizational home for and financial support for the Internet standards process. As AI influences our Internet world they make useful sources available about this topic. A new policy paper deals with questions like socio-economic impacts, transparency, bias and accountability, security and safety, ethics.
ONNX is a community project created technology leaders. They realized the need for greater interoperability of AI tools. Their goal is to make it possible for developers to use the right combinations of tools for their project. We hope you'll join us in this mission!
World Economic Forum runs regular and detailed analysis on topics that are closely related to AI. Some of such initiatives are Digital Economy and Society, Education, Gender and Work. Reports are also available for further study and active education on this matter.
Conclusion
AI is probably is next building block of our higher quality of life. Similarly to all remarkable inventions in history, most probably AI will generate a wide scale of new professions that does not exists today. If we worried to lose 75% of jobs in the near future, we shall also believe with reason that we will see even more jobs be generated. Those will be more exciting and will offer great career to wide population to express themselves in and even better, human centered society. This new society is partially helped by Artificial Intelligence and fully established by new principles that we can name Digital Intelligence.
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