Good Governance and Artificial Intelligence and Ecology
Our next big job is to find out What, Why, and How?
Prof. Dr. Ovid Tzeng
Good Governance, Artificial Intelligence and Ecology-
New possibilities for leadership and change in behavior?
Future Learning with an Augmented Intelligence
Compared with other animals, human being developed quite a tremendous ability to invent and refine tools in order to control and improve both physical and mental worlds, hence, resulting in a complex and fast-moving human society, which can be characterized as an interactive model of 8-O (Bio-Geno-Neuro-Cogno-Info-Techno-Medico-Cultural/Socio) features.
Right now we are in a digital world in which high tech and Internet make us connected socially, intellectually, and spiritually, in both horizontal as well as vertical ways. With respect to health care, big data of health related informatics, data sciences, and AI make preventive and precision medical care possible. It is also very clear that cultural specificities and social values are under rapid changes due to trans-world business and industries as well as to convenient and accessible transportation in air, sea, and high speed rails on land across continents. One obvious behavioral consequence of reorganizing the brain/mind connections is transforming the architect of human information processing (HIP) from a purely primary biological learning machine up to a secondary cognitive learning platform which allows hierarchical organization and strategic planning, thus uplifting the quality and flexibility of fast and precise storage/retrieval operations. In a sense, future learning may be characterized by an interactive convolution of mixed properties of dynamical system, which can be expressed in terms of an augmented intelligence as a result of problem solving and actively changing environments, and can be characterized as f (THIP x PBL x SCL x K x E), in which THIP refers to transformed human information processing, PBL refers to primitive biological learning, SCL refers to secondary cognitive learning, and K refers to knowledge, and E refers to experience.
In other words, leadership in a future complex world involves exercises of strategic thinking and meaningful execution for solving complex problems, rather than just performing a learned action plan. From this perspective, we also need to discuss the implications of artificial intelligence (AI). Human being creates artificial intelligence (AI) by syntax and software engineering to replace routine as well as complex procedures in problem solving. In certain specific domain areas, AI challenges and outperforms human’s natural intelligence (NI) without “PERSONAL” knowledge, which allows “compassion,” “curiosity,” and “feeling of knowing” about the domain specific problems.
Basically, AI is a sophisticated tool with fast speed, humongous storage of data, and a very powerful computation based on deep learning algorithms. Recent triumph in chess games by Deep Mind’s AlphaGo and AlphaZero shows strategies, understanding, planning, and insight: No more brute force of machine calculation. For example, AlphaGo worked by training a deep neural network to predict the value of board positions, using millions of past games as training data; furthermore, AlphaGoZero, learned purely by playing itself, and later, AlphaZero took things further by training a single network, again entirely through self-play and without any game-specific knowledge, to deliver world-beating performances in three different games: Go, chess, and the Japanese game shogi. Now, AlphaFold extends it computation power out of its specific domain, built on years of prior research in using vast genomic data, to predict accurate 3D models of proteins structure.
In retrospect, from AlphaZero, AlphaZero, to Alphafold, AI succeeded by thinking smarter, not faster; it was wiser, knowing what to think about and what to ignore. In a sense, AI is simulating human mind by exploring various computation algorisms. But, can AI be more compassionated and has spontaneous curiosity about the world and themselves? Will it appreciates, enjoys, and seeks mindfulness in its living experience? Is it possible that AI has developed a theory of mind and can produce spontaneous improvised humor? Let us use our NI and try to visualize the future AI. At this moment, AI provides an opportunity to augment our human intelligence in the following formula: (AI x NI x K x E) = Augmented Intelligence (Almost Infinite Expansion of Smarter Intelligence). In other words, in the future world, two brains (AI and NI) are better than either one brain. Our next big job is to find out What, Why, and How?
