Design: Artificial Intelligence Design

In February 2024, Fast Company [1] reported on the rise of conversational AI search engines. Large language models (LLM) power these tools, which can answer users’ questions by retrieving and summarizing information from the Internet.

Since the rise of generative AI, several conversational AI search applications have cropped up online. Academic and scientific research is spearheading a wave of experimentation in this field. [2] Frenzied enthusiasm exists around what seems to be a new way of searching for content that provides an alternative to the Google model of search to which we’ve all become accustomed. Read More

Artificial intelligence (AI) is the simulation of human intelligence in machines that we’ve programmed to perform tasks that typically require human intelligence. In recent times, AI has successfully carried automation to the next level with its wide range of capabilities. AI is bringing about the transformation of industries across diverse domains. The information technology (IT) industry is no exception. In fact, the IT industry has enthusiastically embraced the immense potential of AI to transform virtually every aspect of its operations. Professionals within the IT sector have engaged in extensive discussions regarding the potential benefits and drawbacks of AI-driven technologies.

Although market analysts have connected the rapid rise and widespread adoption of AI to recent downsizing at major IT firms, it is crucial that we harness the potential of AI to benefit the IT industry. Highlighting the positive aspects of AI-driven technologies is of the utmost importance. Read More

Artificial intelligence (AI) has emerged as a powerful tool that has the potential to revolutionize various aspects of our lives. However, as we integrate AI systems into our society, it is essential that we address the potential biases they might exhibit. Bias in AI algorithms can lead to unfair, discriminatory outcomes and perpetuate societal inequalities. Therefore, we cannot overstate the importance of bias mitigation in AI.

In this article, we’ll explore why bias mitigation is crucial to the successful adoption of AI in our products and present some strategies for developing fair, ethical AI systems. Read More