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Intellectual Property Law Becomes Murkier As More Creations Are Created with AI

Smart Data Collective

As it stands, intellectual property law is partly prepared to tackle this. Ahmed Elgammal, director of Rutgers Art and Artificial Intelligence Laboratory, explains in his article published in American Scientist that these programs employ one of two algorithm classes. Is the practice considered plagiarism? The Law As It Stands.

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The Rome Call for AI Ethics: Should CIOs heed it?

CIO

The principle of responsibility will require broader buy-in, as it requires a cultural shift to avoid blaming unwelcome decisions on an algorithm, whether AI-based or not. Reliability and security can be taken into account at every level, but CIOs may need to bake inclusion and impartiality into project requirements at an early stage.

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What are the main challenges CISOs are facing in the Middle East?

CIO

We are also seeing an acute AI skills shortage in the form of developers skilled in AI algorithms which will lead to massive lagging of projects in most organisations and generally poor-performing Generative AI models which generally affects organisational decision-making.

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO

Using machine learning algorithms, a decision can be rendered in near real-time — less than 10 minutes is state-of-the-art today — and a protection can be delivered automatically to stop the threat everywhere in the organization’s enterprise environment without the need for any human intervention.

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IT leaders explore footing amid shifting needs and the AI power struggle

CIO

The chatPG platform provides our employees with the same capabilities as an external OpenAI model while protecting our intellectual property and IT security in ways external tools can’t yet do.” But companies need to step away from one-off initiatives and move to scaling algorithmic solutions across their entire business.

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CIOs weigh where to place AI bets — and how to de-risk them

CIO

This ensures that none of our sensitive data and intellectual property are availed to an outside provider.” Risk of lock-in Because running AI algorithms is not cheap, looming over every project is the risk of higher- than-expected cost.

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Tech leaders weigh in on the upside and flipside of generative AI

CIO

In my experience, the algorithms from reputable firms do what they say on the tin but what really matters is where you position in the workflow.” This makes it almost impossible to monetize, and, therefore, fund the implementation and usage of the algorithms. This is true across both public and independent sectors.