Artificial intelligence is a broad discipline of computer science that focuses on developing smart computers capable of performing activities that typically necessitate human intelligence. Artificial intelligence enables machines to model and even improve the human mind’s abilities. Artificial intelligence is becoming more prevalent in everyday life, from the creation of self-driving cars to the spread of smart assistant devices such as Siri and Alexa. Human-Centered Artificial Intelligence design always begins with people and what is desirable from a human standpoint, focusing on what people want and need. It means constantly putting people first and prioritising empathy as an initial parameter.

What Is Human-Centered Artificial Intelligence? - Sheet1
Human-Centered Artificial Intelligence_©https://hcil.umd.edu/human-centered-ai/

We learned that the future of data science will be a collaboration between humans and AI systems, in which both automation and human expertise are indispensable.” When developing Human-Centered Artificial intelligence, it is necessary to consider what is technologically viable. Always believe in and comprehend what data, data science, and artificial intelligence can do. What is desired for people, as well as what is technologically attainable? There is an expectation that this will be profitable for the company. It may be technologically doable at times, but if it is not financially practical for a firm, it is unlikely that our clients will be interested. Desirability, practicality, and technology are constantly at the core of innovation.

History of artificial intelligence: Key dates and names | Human-Centered Artificial Intelligence

The concept of a ‘thinking machine’ stretches back to ancient Greece. However, significant events and milestones in the growth of artificial intelligence since the introduction of electronic computers include the following:

  • 1950: Alan Turing publishes Computing Machinery and Intelligence. Turing—famous for cracking the Nazi ENIGMA code during WWII—propose in the article to address the issue “can computers think?” and presents the Turing Test to assess if a computer can display the same intelligence (or the effects of the same intelligence) as a person. Since then, the Turing test’s worth has been questioned.
What Is Human-Centered Artificial Intelligence? - Sheet2
The Dartmouth College Artificial Intelligence Conference_©Joe Mehling
  • 1956: At the first-ever AI conference at Dartmouth College, John McCarthy coined the phrase “artificial intelligence.” (McCarthy would later design the Lisp programming language.) Later that year, Allen Newell, J.C. Shaw, and Herbert Simon developed the Logic Theorist, the first AI software programme ever to run.
  • 1967: Neural networks that train themselves using backpropagation algorithms are widely used in AI applications.
Garry Kasparov during his 1997 match against Deep Blue, IBM’s chess-playing computer_©Adam Nadel/AP
  • 1997: IBM’s Deep Blue defeated then-world chess champion Garry Kasparov in a chess match (and rematch).
  • 2011: IBM Watson Defeats Champions Ken Jennings and Brad Rutter at Jeopardy!
  • 2015: Baidu’s Minwa supercomputer employs a deep neural network known as a convolutional neural network to detect and categorise pictures more accurately than the average person.
  • 2016: DeepMind’s AlphaGo software, backed by a deep neural network, defeats world champion Go player Lee Sodol in a five-game match. Given the enormous number of possible movements as the game proceeds (nearly 14.5 trillion after only four plays! ), the win is important. Later, Google reportedly paid $400 million for DeepMind.

What are the Principles of Human-Centered Artificial Intelligence? 

We must employ technology, not for its own sake, but to bring innovations and capacities to bear on real-world human issues. When designing with data, keep the following ideas in mind:

1. Improves Living

Human-Centred artificial intelligence improves people’s lives; for example, assume we need to design a proof of concept (POC) for an Empathy machine for an exhibition. The objective is to employ augmented intelligence to learn about and sympathise with one another. If individuals interact primarily through screens, designers must ensure that we maintain a personal connection. We must use technology, not for its own sake, but to learn more about one another and improve our lives.

2. Becomes a guide in various sectors

In various operations that include human interference to provide or collect data, artificial intelligence is vital in guiding individuals through multiple processes to attain the desired result.

3. Unlocking New Insights | Human-Centered Artificial Intelligence

In the field of medicine globally, there is a large amount of medical data. As humans, we can establish links so quickly by looking at the data and reviewing medical information. With today’s predictive capability and data processing, we may get numerous new insights, such as medication interactions. Normally, individuals may research medicine and its side effects. Before exposing previously unseen patterns, users can attain new perspectives on unattainable prescription medications using processing capacity.

4. Best Use of Time, Effort and Resources 

Human-Centred artificial intelligence is likewise concerned with efficiently using time, effort, and resources to support, empower, and delight other individuals. People constantly want more time to ponder and learn to be creative, but they can’t since they have numerous other things to accomplish. Most people want to know what’s wrong, some of the issues one frequently considers while developing data.

5. Invading Privacy | Human-Centered Artificial Intelligence

Privacy becomes a key feature that is keenly observed and kept undisclosed while designing or developing artificial intelligence. 

Efforts to construct responsible and human-compatible AI consider various variables, including the need to comprehend how humans interact with and trust AI systems. There is also a need to clarify how AI models work and increase people’s comprehension of how AI systems work. The plan must also assess the possible negative implications or abuse of AI systems, contain methods to reduce human and AI biases, and be able to monitor people’s views (or misperceptions) of AI systems.

Images:

  1. https://hcil.umd.edu/human-centered-ai/. Human-Centred Artificial Intelligence.[Illustration]
  2. Joe Mehling. The Dartmouth College Artificial Intelligence Conference. [Photography]
  3. Adam Nadel/AP. Garry Kasparov during his 1997 match against Deep Blue, IBM’s chess-playing computer. [Photography]

Online sources:

  1. What is human-centered AI? (2021) Appen. Available at: https://appen.com/blog/what-is-human-centered-ai/ (Accessed: December 6, 2022). 
  2. Waters, D. (2020) Garry Kasparov vs. Deep Blue: The historic chess match between man and Machine, The Washington Post. WP Company. Available at: https://www.washingtonpost.com/history/2020/12/05/kasparov-deep-blue-queens-gambit/ (Accessed: December 6, 2022). 
Author

Vanishya Vasanth is an architectural graduate and an enthusiastic writer. She writes to remember, gaining knowlege with every word. You will find her sketching and doodling her thoughts dreaming of a self-sufficient and sustainable world ahead.