Essay

The idea of human interaction being replaced by AI was first applied 35 years ago with ELIZA, a natural language processing program, created at MIT by Joseph Weizenbaum. Emotion sensing did not exist and in this respect, it is astonishing that AI-support for therapeutic counselling is still at a very early stage.

Therapeutic AI can free up doctors to work more with their patients, handling administrative tasks and even assisting with diagnosis or intervention. In addition, empathy focused AI-applications can help patients to create awareness of their own emotional states.

Mutual trust in AI-conversational therapy is an absolute prerequisite to advance the market further. Without the adherence to ethical standards and the protection of privacy, trust cannot be achieved.

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Language is one of the most important means of communication and elemental  for the existence of modern societies, institutions, states and cultures.

AI-based Natural Language Generation (NLG) is the process of producing meaningful phrases and sentences in the form of natural language. NLG generates narratives that describe, summarize or explain structured data, making the writing of data-driven financial reports, product descriptions, or meeting memos more efficient.

In the context of language and writing, we must distinguish between computer-generated textual representations of facts and the creative process of formulating an idea or a story, something we might also refer to as ‘thoughtful writing’.

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According to research conducted by Dr. George Land, adults are ‘grown up children’ who have lost their creativity because creativity has been buried by rules and regulations. 

In the age of AI, our great distinguishing capacity vis-à-vis intelligent machines is creativity. A recent PwC report explains, “The rise of artificial intelligence is driving a new shift in value creation focused on sentiments more intrinsic to the human experience.

Creativity is a skill that can be developed and a process that can be managed. It begins with a foundation of knowledge, learning a discipline and mastering a way of thinking. We learn to be creative by experimenting, exploring, questioning assumptions, using imagination and synthesizing information.

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The term ‘Ecosystem’ was first used in 1935 in a publication by the British ecologist Sir Arthur Tansley. He devised the concept of an ecosystem to draw attention to the importance of the transfer of materials between organisms and their environment.

Starting in the early 1990s, James F. Moore introduced the strategic planning concept of a business ecosystem. He defined the ‘business ecosystem’ as an economic community supported by a foundation of interacting organizations and individuals.

With advancements in science and technology, new business ecosystems will evolve. We need a dual-ecosystem strategy: a) for caretaking of nature to support our intrinsic mind-body requirements and b) for building-up AI enhanced individuals and organizations to establish economic sustainability.

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The COVID-19 pandemic has caught humanity largely unprepared. While its devasting effects will be felt for a long time, the potential contribution of AI to better handle the outbreak of pandemics is very much apparent.

Experience and lessons learned show that isolation and home-based video conferencing reduce team efficiency and increase mental stress.

Location based big data analytics and contact tracing help to contain a pandemic outbreak. Monitoring our health with body sensors and AI based interpretation tools will put us in a much better position to emotionally counteract the paralyzing effects of fear. Finally, rapid drug and vaccine development complements the AI tools, reducing the physical, mental and economic damage a pandemic can cause.

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Covid-19 is causing a major disruption to our individual, social and corporate well-being. As scientists and researchers race to understand the behaviour of the virus and how to fight it, fear about its devastating potential is growing.

Bodily reactions individually monitored with sensors in real-time, provide information about our emotional response, supporting our sense of control and our ability to reduce the paralyzing effects of fear.

Raising awareness and understanding of our emotions combined with the rationality of intelligent machines are fundamental to fight off the potentially devastating impact of a global pandemic.

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The aim of artificial intelligence (AI) is to augment or substitute biological intelligence with machine intelligence. The rising complexity to achieve this goal calls for a transdisciplinary approach integrating various research areas.

Collaboration between Neuroinformatics, Neurobiology and Neurophilosophy is fundamental to overcome the ongoing expansion of knowledge-silos we can observe in traditional university research settings.

The availability of new broadband communication and virtual-reality simulation tools support the effort to establish highly efficient challenged based research teams, revolutionizing knowledge creation.

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We have the means to uncover the start of a pandemic like never possible before. Personal tracking data (GPS) coupled with body sensor information (body temperature, heart rate, brain activity etc.) provide potential disease-status-information in real-time which can be processed by powerful service centers.

The existing threat of machine viruses, personal data theft, extortion with ransomware or the distribution of fake-information is likely to pose a threat as serious as global pandemics.

While biotechnology stands a good chance to keep future pandemics in check, punishment and imprisonment of cyber-criminals is a must to assure future prosperity and human wellbeing.

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There are several theoretical approaches to brain functions, including one to the most mysterious thing the human brain can do – producing consciousness. But so far none of these theories are widely accepted, and none has yet passed the decisive test of experimental investigation.

The implications of machine intelligence, for the process of doing science and for the philosophy of science, can be immense. With predictions obtained by methods that no human can understand, can we deny that machines have better knowledge?

If prediction is in fact one of the primary goals of science, how should we modify the scientific method and the algorithms that for centuries have allowed us to identify errors and correct them?

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Creativity is a phenomenon whereby something new and somehow valuable is formed. The created item may be intangible (such as an idea, a scientific theory or a musical composition) or a physical object (such as a robot or a painting).

Most of the things we use every day are inventions that no single human being could ever design within her lifetime. Rather than the product of individual innovators, these inventions can be thought of as the product of our societies.

Ceding social authority to machines, we will be treating the achievements of mathematics as if they required no human understanding at all. We will be taking one of our highest forms of creativity and intelligence and reducing it to a single bit of information: yes or no.

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