The release of the GPT-3 (Generative Pre-trained Transformer 3) language model by Open AI has been greeted with enthusiasm and excitement. Several commentators have hailed the development of the language solution as a crossroads in natural language processing (NLP).
Artificial Intelligence is shaping the transformation of our world in many ways. From travel to tourism, to fashion, the influence of AI is leading to advancements that were barely imagined a few decades ago. But what feeds AI? While deep insights into the industry, real-time information and actionable recommendations are easy wins by Artificial Intelligence in almost every industry today, data is the lifeblood of artificial intelligence.
What do we understand as bias? Can bias be good or destructive in everyday human interaction? Is bias in humans different from bias in AI? There are a number of questions associated with bias in the AI industry. As businesses deploy AI solutions, care must be taken to avoid setting up models that come off as discriminatory to both consumers and regulators.
In an agile, consumer-driven product ecosystem, the need to build and launch great products and experiences through software is driving interest from product makers. Why is it important to create a great user experience?
