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Artificial Intelligence

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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
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.
Share:The Human Side of AI: Navigating its Consequences in the Real World
5 min read

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

Article by Justin Swansburg
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
Share:The Hidden Risks of Leveraging OpenAI’s GPT in Your Machine Learning Pipelines
6 min read

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

Article by Jakob Nielsen
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.
Share:ChatGPT Lifts Business Professionals’ Productivity and Improves Work Quality
9 min read

There is no more significant time to be a designer than the present and no greater reward than creating something new and contributing to the betterment of others, but this also comes with a huge responsibility. As new and emerging technologies evolve at an unprecedented pace, we must ask ourselves: if this pace continues to accelerate, what challenges will we face?

Article by Nour Diab Yunes
Shaping Future Interactions: AI, Ethics, and Robo-Utopia
  • The article proves that collaboration across fields of design, science, engineering, and technology is necessary to create a progressive future.
  • Bias in AI algorithms reflects societal biases and intersectional-centered approaches are necessary to prevent unfair consequences.
  • Advances in technology have allowed us to enhance our physical and cognitive skills, and we are entering a ‘post-human condition’ where our very identity as human beings is being redefined.
Share:Shaping Future Interactions: AI, Ethics, and Robo-Utopia
9 min read

Breaking down the strengths and limitations of search engines and GPT-3 language models.

Article by Aydin Ozcekic
Merging Search and GPT3
  • The author analyzes advancements in technology that have integrated search capabilities into chatbots for a more efficient user experience.
  • Comparing search and GPT3, it’s crucial to choose the technology that best fits the specific needs and goals of the user:
    • GPT-3 language model is content-centered, ideal for text-based information manipulation;
    • Search engines are best for point-to-point information retrieval.
  • The combination of chatbots and search engines can potentially cannibalize each other, leading to a double-edged sword scenario.
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5 min read

Robb and Josh talk about the changing nature of experience design as conversational AI becomes a fundamental part of the technology we encounter on a daily basis.

Article by UX Magazine Staff
Share:Invisible Machines Podcast: AI Needs UX
1 min read

Did you know UX Magazine hosts the most popular podcast about conversational AI?

Listen to Invisible Machines

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