Unite.AI

JUNE 26, 2023

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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Unite.AI

APRIL 9, 2024

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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Aiiot Talk

JULY 7, 2023

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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ODSC - Open Data Science

APRIL 4, 2023

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.

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Mlearning.ai

DECEMBER 31, 2023

Unlike traditional ‘black box’ AI models that offer little insight into their inner workings, XAI seeks to open up these black boxes, enabling users to comprehend, trust, and effectively manage AI systems. Until then, keep exploring, keep questioning, and let the machines keep talking.

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Pickl AI

DECEMBER 29, 2024

Understanding the consequences of AI misuse and the challenges of unregulated systems is essential to realising its benefits without harm. Examples of AI Misuse and Consequences AI misuse has led to notable failures with far-reaching impacts. Diverse perspectives help anticipate potential risks and biases in AI systems.

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