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AI for Money Managers: Avoid the Black Box – And Do This Instead

Unite.AI

We’ve heard stories about how artificial intelligence is able to “pick winners” and make overnight fortunes for investors – but even top scientists often have no idea how AI is doing those things. Many investors concentrate on specific assets, using AI to time purchases and sales – to great success.

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Who Is Responsible If Healthcare AI Fails?

Unite.AI

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. AI Gone Wrong: Who’s to Blame?

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Enhancing AI Transparency and Trust with Composite AI

Unite.AI

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Using AI for Predictive Analytics in Aviation Safety

Aiiot Talk

Aviation professionals can apply AI-powered predictive analytics to improve safety in everything from aircraft design to airport logistics. AI can streamline and automate key safety processes such as design, monitoring, testing and more. AI monitoring reduces the risk of scenarios like this.

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

This is a promising shift for AI developers, and many organizations have realized impressive benefits from the technology, but it also comes with significant risks. AI’s rapid growth could lead more companies to implement it without fully understanding how to manage it safely and ethically. What Risks Does AI Pose to Corporations?

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The future of QA is here, meet QA-GPT

LevelAI

Auto-QA solutions employ various methods such as speech analytics, natural language processing (NLP), sentiment analysis, and machine learning algorithms to automatically review and score customer interactions. These solutions are often powered by legacy AI systems that are limited in scope or worse, without AI at all.

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Copyright, AI, and Provenance

O'Reilly Media

Generative AI stretches our current copyright law in unforeseen and uncomfortable ways. In the US, the Copyright Office has issued guidance stating that the output of image-generating AI isn’t copyrightable, unless human creativity has gone into the prompts that generated the output. This distinction is attractive for several reasons.

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