When Machines Become More Human-Like: Exploring AI’s Human-Like Qualities

The concept of artificial intelligence, or AI, has been explored and studied for centuries, with the goal being to create a machine or computer that can mimic the behaviour and thought process of humans.

As technology has come so far and AI has advanced in leaps and bounds, it is important to understand the many ways AI is becoming more and more ‘human’. This can manifest in a variety of ways, from computer algorithms that are capable of recognising and responding to emotions to robots that are able to communicate with humans in an imitation of human conversations.

Understanding these advancements in AI is key to further understanding the implications of AI on our societies and how they will continue to evolve in the future.

Here are just some that come to mind (and a couple might seem like they are duplicated, but there are nuanced differences between them):

  1. Adapt to changing environments – AI can adapt to changing scenarios, such as self-driving cars navigating busy streets.
  2. Adaptive learning – AI can adapt to the learning style and preferences of the user. For example, educational software that adjusts the difficulty level based on the student’s performance.
  3. Adjust its behavior – AI can adjust its behavior based on the situation or feedback it receives from humans.
  4. Answer questions – AI can answer questions posed to it, with a high degree of accuracy depending on the complexity of the question being asked.
  5. Argue logically – AI systems can use logical arguments combined with knowledge from databases and natural language processing tools to present an evidence-based argument on a particular subject or issue .
  6. Assist elderly – AI has been used to assist elderly people in their day-to-day activities, helping them stay independent in their own homes for longer periods
  7. Attention: AI systems can show attention to people, following their instructions and requests as a human would do.
  8. Automate processes – AI systems can be used to automate processes like customer service, allowing companies to respond quickly to customer inquiries and complaints without the need for human intervention.
  9. Avoiding obstacles: AI robots can detect obstacles in their path and adjust their course accordingly, just like a human would do.
  10. Body language recognition: AI can recognize body language and use it to respond appropriately.
  11. Collaborate with humans – AI can be programmed to collaborate with humans in order to solve complex problems or develop innovative solutions quickly and efficiently.
  12. Compose music – AI has been used to compose music based on user input and preferences.
  13. Comprehend text – AI can understand and comprehend written text.
  14. Connect dots – AI can connect seemingly unrelated facts to create new insights or propositions that humans may not think of on their own.
  15. Contextual understanding – AI can understand the context of human language and respond accordingly. For example, virtual assistants can understand follow-up questions and maintain a conversation with the user.
  16. Coordination: AI robots can coordinate movements to accomplish tasks that require multiple people working together, such as playing sports or carrying heavy objects around the workplace.
  17. Create art – AI can be used to create digital paintings, replicate classic works of art, and even music, in the same way a human artist or musician would create a work of art or a song.
  18. Creative problem-solving: AI systems can solve complex problems creatively, just like a human would do.
  19. Decision-making – AI can make decisions based on human-like reasoning and logic. For example, self-driving cars that make decisions based on traffic patterns, weather conditions, and road rules.
  20. Develop strategies – AI can develop strategies for playing games, such as chess or Go, based on the user’s preferences or objectives.
  21. Display empathy – AI can exhibit empathy by responding to user needs and emotions appropriately.
  22. Draw conclusions – AI systems can draw conclusions from data and make predictions about future trends.
  23. Emotion recognition – AI can recognize human emotions based on facial expressions, tone of voice, and body language. For example, Amazon’s Rekognition can recognize emotions like happiness, sadness, anger, etc.
  24. Empathy: AI systems can recognize emotion in text or voice intonation and respond with understanding and sympathy the same way a human would do in the same situation.
  25. Engage in conversations – AI systems can have meaningful conversations with humans using natural language processing techniques.
  26. Estimate risk – AI systems can be used to estimate risk in various scenarios and keep track of potential threats in complex environments like financial markets or international borders.
  27. Exhibit emotions – AI can display emotions such as surprise, joy and sadness depending on the situation.
  28. Eye contact: AI can make eye contact with people, helping to create an emotional bond.
  29. Facial expression recognition: AI systems can recognize facial expressions and adjust their behavior accordingly, such as by smiling or frowning in response to what they are seeing on someone’s face.
  30. Facial recognition – AI can recognize and identify human faces. For example, Facebook can recognize and tag people in photos.
  31. Generate creative solutions – AI can generate creative solutions to complex problems that humans may not think of.
  32. Generate insights – AI can generate new insights from data, such as trends and recommendations, just as a human analyst would from analysis of the same data.
  33. Generative models – AI can generate new content that mimics human-created content. For example, OpenAI’s GPT-3 can generate human-like text, including poetry, stories, and news articles.
  34. Handwriting recognition: AI systems can accurately interpret handwriting, allowing them to read written messages as if they were written by humans.
  35. Human-like conversational capabilities: AI can talk with people in a natural tone and respond to their questions just like a person would.
  36. Human-like gestures – AI can use robotic or animated avatars to mimic human-like gestures and expressions. For example, humanoid robots that can dance, walk, and perform tasks like a human.
  37. Humor: AI systems can detect and respond appropriately to humor, making it seem almost human-like in nature.
  38. Identify objects – AI systems can identify objects in an image or video with a high degree of accuracy.
  39. Image and video recognition – AI can recognize and identify objects, scenes, and activities in images and videos. For example, Google Photos can recognize and categorize photos based on their content.
  40. Improve healthcare outcomes – AI has been used to improve healthcare outcomes by providing early diagnosis, personalized treatments, and more accurate predictions about recovery times and survival rates for certain diseases or medical conditions..
  41. Intelligent decision-making: AI can analyze multiple criteria and make decisions in a manner similar to a human decision-maker.
  42. Interact socially – AI systems can interact socially with humans, exhibiting appropriate behaviors and conversation skills.
  43. Knowledge management – AI can store, organize, and retrieve human knowledge and information. For example, search engines that provide answers to user queries based on relevant information.
  44. Learn from mistakes – AI can learn from its mistakes, just like humans do, and use that understanding to potentially make better decisions in the future.
  45. Learn from prior experiences – AI can learn from past experiences and apply them in new situations.
  46. Listen to music – AI can be used to analyze audio and generate new musical compositions.
  47. Machine translation – AI can translate human language from one language to another. For example, Google Translate can translate text and speech between multiple languages.
  48. Manage resources – AI can be programmed to manage resources such as electricity or water in an efficient manner.
  49. Manipulating objects: AI robots can manipulate objects with precision and dexterity similar to a human hand.
  50. Memory and recall – AI can store and retrieve information like a human brain. For example, virtual assistants that can remember user preferences and past interactions.
  51. Mimic facial expressions – AI has been used to create realistic facial expressions that mimic human emotions so that robots or avatars can appear lifelike and believable when interacting with humans in virtual environments or online settings.
  52. Mimicking human emotions: AI systems can interpret human emotions and provide appropriate responses, such as sympathy or encouragement.
  53. Monitor health – AI systems can be used to monitor health metrics and detect early signs of disease or illness.
  54. Natural language generation – AI can generate natural-sounding responses and conversation in real-time. AI can also generate written or spoken language that mimics human language. For example, AI-generated news articles, reports, or product descriptions, chatbots and virtual assistants like Siri, Alexa, and Google Assistant.
  55. Natural language processing: AI can understand and interpret human language and respond intelligently.
  56. Neural networks – AI can learn and make decisions like a human brain. For example, AlphaGo, an AI program developed by Google’s DeepMind, defeated a human champion at the game of Go.
  57. Paint pictures – AI can generate attractive digital art using algorithms and neural networks.
  58. Pattern recognition: AI systems can recognize patterns in data, allowing them to find new insights or solutions that are beyond the capability of humans alone.
  59. Perform customer service – AI chatbots can interact with customers in a customer service context, just like a human customer service rep would.
  60. Perform surgery – AI has been used to assist surgeons during operations with a high degree of accuracy.
  61. Personality mimicry – AI can mimic the personality traits of a human based on their communication style and behavior. For example, chatbots that mimic the language and tone of a customer service agent.
  62. Physical movement – AI can mimic human movement and perform physical tasks. For example, robots that can lift heavy objects
  63. Pick stocks – AI can be used to automate the process of analyzing and selecting stocks for investment portfolios, taking much of the guesswork out of stock selection.
  64. Play games – AI can be programmed to play games such as chess, Go and other strategy-based games.
  65. Predict outcomes – AI can make predictions about future outcomes with a high degree of accuracy.
  66. Problem-solving – AI can solve complex problems that require human-like reasoning and analysis. For example, AI-powered medical diagnosis tools that can analyze symptoms and recommend treatment options.
  67. Read handwriting – AI can be used to recognize handwritten text with a high degree of accuracy.
  68. Recognize faces – AI can use facial recognition algorithms to identify people in images and videos.
  69. Recognize patterns – AI can recognize patterns in data and make predictions based on those patterns.
  70. Recognize speech – AI systems can understand and respond to spoken commands with a high degree of accuracy.
  71. Recommendation systems – AI can suggest products, services, or content based on human preferences and behavior. For example, Netflix and Amazon use recommendation systems to suggest movies, TV shows, and products to their users.
  72. Self-awareness: AI systems can become aware of their environment and act accordingly, just like humans do.
  73. Sentiment analysis – AI can analyze human language and determine the sentiment or opinion expressed. For example, social media monitoring tools can analyze customer sentiment and feedback.
  74. Smiling: AI systems can produce a smile that is quite similar to a genuine human smile.
  75. Social interaction: AI systems can interact socially with people, engaging in conversation, expressing empathy and understanding feelings in a way that is human-like.
  76. Solve complex problems – AI can solve complex problems such as routing traffic or predicting stock prices.
  77. Spatial reasoning: AI robots can think in three dimensions, interpreting space the same way humans do so they can plan their movements accurately and safely.
  78. Speak in natural language – AI can use natural language processing (NLP) to interpret and generate verbal output, just as a human would.
  79. Speech recognition – AI can understand and interpret human speech. For example, Apple’s Siri can respond to voice commands and interact with users.
  80. Sports: AI robots can play sports such as soccer or basketball, competing at the same level as humans do.
  81. Study medicine – AI can help doctors research diseases, diagnose symptoms and develop more personalized treatments for individual patients.
  82. Synthesize data – AI systems can synthesize data from multiple sources in order to provide valuable insights about trends, correlations and other useful information for businesses or researchers studying specific topics or areas of interest .
  83. Teach itself – AI systems can use reinforcement learning to teach themselves without any human intervention.
  84. Teach machines – AI can be used to teach other machines, like robots, how to complete complex tasks just as a human teacher would with a student.
  85. Teaching and training: AI can teach and train people in a way that is similar to how humans teach each other.
  86. Tell stories – AI can take existing data and create a narrative out of it, similar to how a human would.
  87. Text recognition: AI systems can recognize text on images or videos, allowing them to read them as if they were written by humans themselves.
  88. Trend analysis: AI systems can detect patterns and trends in data just like humans do, providing valuable insights for businesses or other organizations that could not be achieved by humans alone.
  89. Understand humor – AI can be designed to recognize and respond to jokes, sarcasm and other types of humor.
  90. Understand speech – AI systems can process and understand conversations.
  91. Understanding history and culture: AI systems can understand the context of cultural references and humor to better understand what people are talking about and respond accordingly.
  92. Voice recognition: AI can recognize peoples’ voices and respond according to how the person is speaking.
  93. Walking and running: AI robots can walk in a human-like manner, making them appear almost lifelike.
  94. Write music – AI has been used to create original music pieces and compose scores for films and games.

~ Bella


Ms (Leigh) Bella St John’s career to date is that of achievement strategist, executive coach, professional speaker, and a leading authority on finding innovative solutions, ‘abundance thinking’, virtual communication, and remote leadership.