Keeping these challenges and limitations top of mind, forward-thinking leaders should embrace several guidelines to maximize the value of AI market research while mitigating risks.

Jens Petry and Tom Gassmann of Squire Patton Boggs explore the extent to which AI can play a role in dispute resolution, ...

The authors also flag a recurring issue: while AI models can often generate syntactically correct code snippets, they frequently lack a semantic understanding of the overall software architecture.

The challenges faced by OpenAI highlight a crucial turning point in AI research. As the industry grapples with the limitations of the “bigger is better” approach, researchers are being forced ...

The widespread adoption of AI with all its advantages does not negate the fact that such systems occasionally fail, cause harm to innocent people, and present novel liability questions which the ...

Second in a miniseries on how businesses can leverage AI writing software in their marketing departments. In this article, we learn about AI's limitations.

Generative AI Ethics: 10 Key Ethical Challenges. Ethical challenges abound with generative AI, given the relative newness and remarkable potential of this form of artificial intelligence.These ...

This article explores the key challenges associated with using generative AI in software development and provides practical strategies for circumventing these obstacles.

November 11, 2024 - Generative AI (GenAI) models — which produce new content based on training data — have recently become increasingly important to the advancement of commercial technologies.