Previous Knowledge
In June 2021 Amol Joshi and his colleagues at West Virginia University (Joshi et al, 2021) trained an AI to repair blurred or distorted fingerprints lifted from crime scenes. However, although the benefits of this AI seem obvious it is still a contested matter that courts and legal systems in the Western worlds would be accepting evidence that has been manipulated by AI due to the present-day black-box nature of neural networks and the current difficulty to provide an audit trail. However, in October 2021, the protection of human rights did not stop Russia, which offered the "Face pay? method in 241 metro stations in Moscow. Metro users can pay using their biometric face information, even wearing a standard face mask. Accelerated innovation, competitive pressure together with the benefits that AI is able to bestow upon organisations and governments will significantly influence governments and organisations alike to introduce AI in their everyday operations.
Thus, it has become central that Governments and organisations are able to design AI systems that foster innovation, protect life forms, humans and the environment while being dynamic in redesigning governance. Never before human societies have had the pressure to continuously rethink their governance systems.
Now, we are starting this revolution. As it stands, governments and institutions are not equipped to respond to the speed of the changes, less to influencing the future for good or intervening in history in such a way as to establish solid orientations to facilitate governance in innovation driven societies. The dynamism, scope, depth and proportions of the undergoing transformations foster a large potential for both good and bad outcomes.
Governments and institutions either by action or inaction will significantly affect societies prosperity more than ever.
It is critical that governance is redesigned to include AI not just to control it, but also to foster it for good and in such a way as to create governance flexibility able to continuously create new forms of governance. However, this is extremely difficult due to organizacional, bureaucratic and political rigidities. Thus, we need to devise valuable projects able to overcome these barriers.
This new type of governance will be knowledge intensive and thus it will need to reap the benefits of AI, committed to a better future, requiring deep thinking and fast and continuous learning. Also, due to the complexity of the governance problems, a variety of parties, such as organizations, collectives, and citizens need to be involved in this multiple governance to ensure that responses are of high quality. Multi-stakeholder AI governance models need to be designed, developed and tested able to govern the creation and development of infinitely everchanging cyber-physical spaces in which we live.
Artificial intelligence is already permeating human societies. Due to innovation driven logics, governments and institutions will have to be able to organise their employees and their operating structures and systems to provide orientations for AI governance systems. Thus, the ability to design, create and communicate valuable high quality projects with AI governance will be paramount.
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