The Computing for the Fair Human Life.
Hope to jump
This image visualizes humanity’s endless desire for ‘difference’ as the creative force behind ‘newness.’ The organic human brain fuses with the logical AI circuitry, and from their core, a burst of light emerges. This light symbolizes not just the expansion of knowledge, but the very moment of creation, transforming into unknown worlds and novel concepts.
This image is a diagram titled “IF-THEN with AI” that explains conditional logic and automation levels in AI systems.
AI is ultimately a program, and like humans who wanted to predict by sensing data, making judgments, and taking actions based on those criteria. IF-THEN is essentially prediction – the foundation of programming that involves recognizing situations, making judgments, and taking actions.
Evolution stages of data/formulas:
Now we input massive amounts of data and analyze with AI, though it has somewhat probabilistic characteristics.
Starting from Big Data through AI networks, three development directions:
Key Perspective: While these three development directions exist, there’s a need for judgment regarding decisions based on the quality of data used in analysis/judgment. This diagram shows that it’s not just about automation levels, but that data quality-based reliability assessment is a crucial consideration.
This diagram illustrates the evolution from simple conditional programming to complex AI systems, emphasizing that AI fundamentally operates on IF-THEN logic for prediction and decision-making. The key insight is that regardless of automation level, the quality of input data remains critical for reliable AI decision-making processes.
With Claude
This diagram illustrates the key differences between traditional programming methods and modern machine learning approaches. The analytical approach follows clearly defined rules designed by humans and can precisely explain results, while the empirical approach learns patterns from data and improves efficiency through parallel processing but leaves decision-making processes as a black box.
with claude
From DALL-E with some prompting
This image depicts the process of overcoming the constraints of traditional programming based on expected data through big data and deep learning. Starting on the left, binary digits labeled as “Data” are processed through a “Filtered” stage to become the necessary “Expected Data.” The box labeled “Constraints” in the center represents the limitations that can occur in programming. These constraints suggest barriers that can be overcome with big data processing and deep learning technologies. On the right, there’s a section transitioning from “Codes” to “Errors,” which signifies possible errors during the coding process. However, the text “Fixed Code for fixed data type” reflects that program code is pre-established for expected data types and does not transcend the boundaries of this data, thereby limiting its potential. The phrase “beyond the limits of data!!” at the bottom expresses the ambition of future programming to surpass the limitations of data processing by utilizing big data and deep learning.
From DALL-E with some prompting
The image depicts the three stages of AI forming artificial intelligence through repeated classification tasks based on data:
In this process, AI leverages extensive data for repetitive classification tasks, and the result is what we refer to as ‘intelligence.’ However, this intelligence is not an emulation of human thought processes but rather a product of data processing and algorithms, which qualifies it as ‘artificial intelligence.’ This underlines that the ‘artificial’ in AI corresponds to intelligence derived artificially rather than naturally through human cognition.
From DALL-E with some prompting
The image highlights the centrality of data in digital operations. Data manifests in various forms and is at the core of all digital processes, from traditional CPU tasks to contemporary AI/ML services. The CPU utilizes the Von Neumann architecture to execute instructions that process data. Programs manipulate this data to perform desired operations. Databases store and manage this data, while AI/ML learns from the data and generates predictive models. Ultimately, all these processes culminate in services that are delivered to users. Throughout these stages, the fundamental programming principle of ‘If’ (condition) and ‘Then’ (action) is applied, facilitating data-driven decisions and enabling automated processing.
Lechuck Park 