Governments and development partners must take a deliberate approach in conjunction with the private sector to implement artificial intelligence technologies.
Technologies like artificial intelligence (AI), big data, cloud technology and the Internet of Things change the way we work, live and relate. The changes and interruptions caused are so enormous that there are as many risks to success.
Throughout 20 billion devices are currently connected to the Internet and nearly half of companies around the world are operationally aware of the need for cloud technology. By 2022, one out of five non-routine workers will rely on artificial intelligence. The AI increase will assist companies to recoup their labour productivity of 6.2 billion hours.
DV Nation, These technologies are able to enhance economic growth, organisational efficiency and social development considerably and can contribute to better resource management in ways that benefit the environment.
But organisations, if governments fail to regulate or use instruments to harness benefits, may not be able or unwilling to change. The possible reasons may include a lack of capability, access to economical R&D, power shift to early adapters, inequality creation, new security problems and social fragmentation.
To prevent this and to ensure that the digital divide does not widespread and companies can reap the advantages, five problems must be solved.
First of all the four important pillars for AI promotion are data, computer infrastructure, algorithms and environment support, which will promote diversity and economic progress. Governments and international institutions must collaborate closely to find suitable use cases and ensure that high-quality data is available and that security is necessary to enable AI ecosystems to function efficiently.
Second, measures upstream and downstream to enable the use of AI should be devised. The upstream function covers the development, funding and support of initiatives through the efficient utilisation of the private sector, ventures and partnerships between the public and private sectors. The downstream part is the identification of appropriate applications and scenarios of use.
Third, a method for the compensation of circumstances in which AI leads in job losses should be devised. It should be devised and implemented a technique such as a robot tax and other measures such as universal telecommunications service duties. At the same time, we can also study appropriate taxation and the opportunity to use corporate social responsibility programmes to assist the individuals affected.
Fourthly, we must consider the possibilities of establishing an international agency to teach, track, monitor and regulate and act as a calling body for ethical, responsible and productive use.
Fifthly, priority must be given to sectors that demand large-scale attention. How quickly, for example, can we accelerate the research and development of new materials and drug discoveries that help protect people against diseases. Can we reach consensus on using external space and space technologies to monitor the climate and weather in order to preliminary calculate disasters and decide?
The Internet is currently connected to over 20 billion devices.
What mechanisms can AI employ to combat terrorism, humanity and biodiversity, and to combat fraudulent monetary transactions and corruption? How can healthcare technology provide an inexpensive access for the poor and vulnerable and efficient health services?
The application of technology is immense, and therefore, a two-way approach is important, with the prioritisation by governments, international institutions, and alliances of funding and addressing global public good and ethics issues, whilst responsible sectoral adoption of technology is left to the private sector.
There are various hurdles to AI technologies and collaboration needs to be dealt with such as multi-sectoral regional cooperation programmes, re-qualification and laws. It will also require confidence and transparency in the creation, stockpiling, sharing and use of information across all actors and between governments, international organisations and alliances.
Things that need to be examined include human behaviour, data management, legal and ethical standards and building capacity. Furthermore, hard infrastructure—broadband connectivity and digital literacy are vital to the inclusion and sustainability of digital innovations.
The problem of ensuring a fair playing field for the technologically advanced to the digitally less advantaged is enormous with developments in technology such as 5G system.
Governments must invest heavily in training skills and preparing society for an orderly transition. Pilot executive work, develop standards, security protocols, regulations and exploration of business models including public-private partnerships should be developed at international level and AI demonstration technologies should be established, policy and information sharing should be developed for mainstreaming.
In this context governments and development partners will have to plan the methodical adoption of AI technology in partnership with corporate sectors, as well as initiatives such as the global Artificial Intelligence Partnership.
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