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Artificial Intelligence

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The Future of UX Design: How AI and Machine Learning Are Changing the Way We Design

  • Artificial Intelligence, Conversational Design, Design, Design Theory, Things UX People Like, UX Magazine

Personalization, engagement, and efficiency—discover how AI and ML are shaping the future of UX design and revolutionizing user experiences.

Article by Ali Abdu
IDEAS IN BRIEF
The Future of UX Design: How AI and Machine Learning Are Changing the Way We Design
  • The article cover how AI and ML transform UX design with the following 3 points:
    • Personalization.
    • Engagement.
    • Efficiency.
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4 min read

Amidst All The AI Hype, Remember The Human Touch

  • Artificial Intelligence, Design, The rise of design, Things UX People Like, UX Education, UX Magazine, UX World Changing Ideas

Embracing the Balance: Nurturing Humanity in an AI-Driven World. Depending on who you ask, AI is either empowerment or a means to take your job. I fall into the former camp, empowerment, and here’s why.

Article by Chris Kernaghan
IDEAS IN BRIEF
Amidst All The AI Hype, Remember The Human Touch
  • The article emphasizes the importance of maintaining human connection and empathy in an AI-driven world.
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4 min read

Design Thinking and AI: Enhancing User-Centered Design with ChatGPT

  • Artificial Intelligence, Design, Design Theory, Design Tools and Software, The rise of design

A look into the revolutionary combination of Design Thinking and AI, showcasing how ChatGPT empowers the creative process.

Article by Vincent Hunt
IDEAS IN BRIEF
Design Thinking and AI: Enhancing User-Centered Design with ChatGPT
  • Integrating the AI tool ChatGPT into design thinking enhances the process by gathering user feedback, generating ideas, and validating prototypes.
  • ChatGPT simulates user interviews, providing valuable insights for creating empathy maps and understanding user needs.
  • The AI model enables quick and cost-effective creation of text-based prototypes, facilitating efficient testing and validation of design concepts.
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3 min read

The Human Side of AI: Navigating its Consequences in the Real World

  • Artificial Intelligence, Behavioral Science, Human factors, Neuroscience, Technology for the Common Good

The widespread and transformative impact of artificial intelligence (AI) on various industries and the potential consequences of developing more advanced AI.

Article by Sorab Ghaswalla
IDEAS IN BRIEF
The Human Side of AI: Navigating its Consequences in the Real World
  • The author speculates on how uncertain the human-AI journey is, and it remains to be seen whether machine and man will learn to co-exist or whether AI will lead to the total annihilation of humankind.
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5 min read

The Hidden Risks of Leveraging OpenAI’s GPT in Your Machine Learning Pipelines

  • Artificial Intelligence, Defining AI, New and Emerging Technologies, Privacy and Data Security, Research Methods and Techniques, Research Tools and Software

Discover four major risks that everyone should be aware of when incorporating generative AI into their ML modeling.

Article by Justin Swansburg
IDEAS IN BRIEF
The Hidden Risks of Leveraging OpenAI’s GPT in Your Machine Learning Pipelines
  • The article covers four major risks that everyone should be aware of when incorporating generative AI into their ML modeling:
    • Randomness
    • Target leakage
    • Hallucination
    • Topic Drift
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6 min read

ChatGPT Lifts Business Professionals’ Productivity and Improves Work Quality

  • Artificial Intelligence, Content and Copy, Contextual User Studies, Personal and Professional Development, Technology for the Common Good, UX Magazine

In a study of business professionals using ChatGPT to write business documents, task time decreased, while rated quality improved substantially.

Article by Jakob Nielsen
IDEAS IN BRIEF
ChatGPT Lifts Business Professionals’ Productivity and Improves Work Quality
  • The article discusses the accuracy and reliability concerns raised by the introduction of ChatGPT and similar AI tools based on a recent study by Shakked Noy and Whitney Zhang from MIT.
  • While there is a need to ensure the accuracy and reliability of AI-generated output, the study highlights the potential of these tools for enhancing human productivity and quality in professional settings.
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9 min read
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