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Machine unlearning: Researchers make AI models ‘forget’ data

AI News

While some existing methods already cater to this need, they tend to assume a white-box approach where users have access to a models internal architecture and parameters. Black-box AI systems, more common due to commercial and ethical restrictions, conceal their inner mechanisms, rendering traditional forgetting techniques impractical.

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

Unite.AI

The opportunities afforded by AI are truly significant – but can we trust black box AI to produce the right results? Instead of utilizing AI systems that they cannot explain – black box AI systems – they could utilize AI platforms that use transparent techniques , explaining how they arrive at their conclusions.

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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

LLMs are helping us connect the dots between complicated machine-learning models and those who need to understand them. LLMs as Explainable AI Tools One of the standout features of LLMs is their ability to use in-context learning (ICL). Theyre making AI explanations accessible to everyone, not just tech professionals.

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Enhancing AI Transparency and Trust with Composite AI

Unite.AI

Several times black-box AI models have produced unintended consequences, including biased decisions and lack of interpretability. Composite AI is a cutting-edge approach to holistically tackling complex business problems. It achieves this by integrating multiple analytical techniques into a single solution.

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Using AI for Predictive Analytics in Aviation Safety

Aiiot Talk

AI is today’s most advanced form of predictive maintenance, using algorithms to automate performance and sensor data analysis. Aircraft owners or technicians set up the algorithm with airplane data, including its key systems and typical performance metrics. Black-box AI poses a serious concern in the aviation industry.

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

Bias and Inequality AI can also introduce societal issues like exaggerating bias if corporations aren’t careful. Amazon’s scrapped hiring AI model infamously penalized women’s resumes as the machine learning algorithm expanded on implicit biases within the training data.

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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. Say goodbye to black-box AI models where you’re never quite sure if the AI got it right.