Generative artificial intelligence (AI) has redefined the standards of artificial intelligence, revolutionising sectors, and industries, driving innovation and transforming our everyday work and play. Though generative AI, or AI, broadly delivers “human-like intelligence” at a significantly reduced cost, it has unlocked concerns around IP ownership, cyber security, and privacy and is known to perpetuate bias.
Since generative AI models rely on existing content on the internet, it is likely to inherit stereotypical biases of the internet if left unchecked. Generative AI is also known to be prone to errors when it comes to questions about the practical functioning of the world. When generative AI misinterprets a question, it makes up an answer with factual errors, these are commonly known as “hallucinations“.
The future likely involves humans and AI working collaboratively, with generative AI assisting in tasks that require creativity, problem-solving, and pattern recognition. While generative AI offers incredible possibilities, the associated risks should not be overlooked. Ongoing research and development will drive advancements in generative AI, resulting in more sophisticated models, improved understanding of human creativity, and refined algorithms.
Source: Mint
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