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Articles by Anup Iyer
Navigating data challenges and compliance in AI initiatives | JD Supra
Data serves as the foundational element for artificial intelligence (AI) models, enabling algorithms to discern patterns, forecast outcomes, and provide insights. The advent of generative AI, which relies extensively on vast and varied data sets to create new content, underscores the importance of data in this context.
The flip side of generative AI in law and how to address it – South Carolina Lawyers Weekly
By Anup Iyer Generative artificial intelligence, known as AI, despite its immense promise, isn’t without its challenges in the realm of law. Many legal professionals voice concerns about over-dependence on technology. If we lean too heavily on generative AI, do we run the risk of letting our legal acumen rust over time? Then there’s the often-discussed issue of bias.
The flip side of generative AI in law and how to address it
By Anup Iyer Generative artificial intelligence, known as AI, despite its immense promise, isn’t without its challenges in the realm of law. Many legal professionals voice concerns about over-dependence on technology. If we lean too heavily on generative AI, do we run the risk of letting our legal acumen rust over time? Then there’s the often-discussed issue of bias.
How to Get Around the AI Trust Paradox in Legal Practice
In a bustling law firm, trust isn’t just a five-letter word—it’s the very backbone of collaborative work. As a junior partner said at a recent AI task force, “After working with a four-year associate for a while, in time, I will trust the first draft of their work product enough to not spend too much time reviewing it. With generative AI, I will never develop that level of trust.” This captures a deeply entrenched challenge in the world of legal tech—the trust paradox.
How to Get Around the AI Trust Paradox in Legal Practice
In a bustling law firm, trust isn’t just a five-letter word—it’s the very backbone of collaborative work. As a junior partner said at a recent AI task force, “After working with a four-year associate for a while, in time, I will trust the first draft of their work product enough to not spend too much time reviewing it. With generative AI, I will never develop that level of trust.” This captures a deeply entrenched challenge in the world of legal tech—the trust paradox.
Drafting patent claims for AI-based inventions: navigating eligibility and precision
(August 7, 2023) - Anup Iyer and Nick Russell of Moore & Van Allen discuss issues over patent eligibility of artificial intelligence inventions as many AI innovations can be viewed as abstract since they involve algorithms and mathematical processes. In the rapidly evolving landscape of artificial intelligence (AI), innovation is at an all-time high.
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