AI In Astrology — Journey from Superstition to Scientific

Artificial intelligence and astrology may initially appear as fundamentally incompatible realms. AI represents the pinnacle of scientific innovation and technology, while astrology is often associated with unscientific beliefs in magic, spirituality, and the occult. However, they surprisingly exhibit a striking commonality—they are both firmly rooted in the pursuit of making predictions and generating meaning by discerning patterns in the world. Artificial intelligence, as a predictive and governance tool, has reignited public confidence in the idea that the future can be understood and in the framework of speculative thinking.

In the traditional context, human astrologers carry out the mathematical aspects of astrology for divination. Conversely, artificial intelligence machines engage in speculative calculations by seeking to replicate human thought processes through computational methods. This involves the automated collection and analysis of vast datasets, often referred to as big data, using algorithmic techniques such as deep learning.

Artificial intelligence, viewed as an enhancement of human intelligence, is harnessed as a predictive instrument for enhancing decision-making, foreseeing potential risks, and influencing behavior across a broad spectrum of human endeavors.

As a form of speculation, astrology exhibits a remarkable resemblance to artificial intelligence. Both are used to rationalize and predict patterns of human behavior, societal events, and natural occurrences by observing and studying patterns, celestial in the case of astrology, and data-driven in the case of artificial intelligence. The fundamental principles of machine learning algorithms and statistical modeling rest upon the same beliefs of understanding the future and managing uncertainty that underpin astrological practices.

Astrology, stemming from ancient traditions of pattern recognition as an institutionalized divination system, exerted influence on medieval scholars and served as the precursor to fields like astronomy and astrometeorology. Over time, through imperial and military endeavors, the language of the celestial sky evolved into the scientific disciplines of climatology and meteorology. The study of climate and weather demanded the collection of extensive data, statistical computations, and the capabilities of robust computing systems.

Artificial intelligence has emerged from the algorithms and neural networks of computers, designed to mimic the functioning of the human brain.

However, employing artificial intelligence (AI) for astrological predictions is constrained by several limitations:

1. Subjective Interpretations: Astrology heavily relies on subjective interpretations of celestial positions and their presumed impacts on individuals and events. AI operates based on objective data and algorithms, making it unable to comprehend subjective beliefs or emotions.
2. Data Quality: AI systems demand high-quality, reliable data to provide accurate predictions. In astrology, the data used often includes birth dates, celestial positions, astrological charts, and astrological texts, which may lack a strong empirical foundation and consistency across different astrologers.
3. Lack of Consensus: Astrologers themselves frequently possess varying interpretations and methodologies, resulting in discrepancies in predictions. AI models require a clear and consistent set of data and rules to generate predictions, which can be challenging in the context of astrology.
4. Overfitting: AI models can be susceptible to overfitting, meaning they might learn patterns in the training data that do not generalize effectively to new, unseen data. In astrology, there is a risk that an AI model could make predictions based on noise in the data rather than meaningful relationships.
5. Ethical Concerns: The application of AI for astrological predictions can raise ethical concerns. It may exploit vulnerabilities by offering predictions that lack a foundation in scientific principles or evidence, potentially disseminating false information.
6. Limited Predictive Power: Even if AI is employed to analyze astrological data, it faces a fundamental challenge. Astrology has not demonstrated significant predictive power in controlled scientific studies. AI’s effectiveness is contingent on the quality of the data it’s trained on, and if the underlying data lacks predictive validity, AI predictions will similarly be unreliable.

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