Adopting gen AI is a critical priority for 89% of leaders, a clear sign that missing out could mean falling behind the competition. But gen AI’s potential for inaccurate or harmful outputs that could damage brand reputation is a top concern slowing leaders down.1.
The risk of inaccurate, biased, or harmful content is a valid concern when it comes to using generative AI. However, with the right lens and knowledge of large language models, you can evaluate gen AI providers confidently to ensure quality content your teams can trust.
Join Timo Mertens, Head of ML and NLP Products, and Knar Hovakimyan, Engineering Manager, on August 24, at 10 a.m. PDT, for a look at how Grammarly’s natural language processing (NLP) experts and Responsible AI team work together to improve outputs and mitigate harmful, biased, and inaccurate content. You’ll learn what to look for from a gen AI vendor to safeguard your brand.
Can’t make it? Register anyway, and we’ll send you the recording.
Capture Value and Limit Risk With Gen AI
Timo Mertens leads the Grammarly team that brings machine learning and natural language processing to life. Previously, he worked at Dropbox, building intelligent and assistive experiences fueled by machine intelligence. Before that, he led machine learning initiatives within Search at Google and helped bring voice-recognition products to life at Microsoft.
Knar Hovakimyan leads Grammarly’s Responsible AI team, which is committed to building and improving AI systems that reduce bias and promote fairness. Communication is incredibly personal, and Knar’s team of analytical linguists and machine learning engineers is committed to ensuring that Grammarly’s suggestions and outputs are inclusive, unbiased, and fair for the over 30 million people and 50,000 business teams using the product.
Commissioned study conducted by Forrester Consulting on behalf of Grammarly |Maximizing Business Potential with Generative AI: The Path to Transformation, July 2023.