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Generative AI in the Healthcare Industry Needs a Dose of Explainability

Unite.AI

The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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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. Not necessarily.

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AI governance: Analysing emerging global regulations

AI News

AI News caught up with Nerijus veistys, Senior Legal Counsel at Oxylabs , to understand the state of play when it comes to AI regulation and its potential implications for industries, businesses, and innovation. There was pushback to the EU AI Act , too, which was nevertheless introduced.

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OpenAI chooses Tokyo for its first Asian office

AI News

The new office aims to foster collaboration with the Japanese government, local businesses, and research institutions to develop AI tools tailored to Japan’s unique requirements. OpenAI has announced the opening of a new office in Tokyo to drive its expansion into the Asian market.

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AI and Financial Crime Prevention: Why Banks Need a Balanced Approach

Unite.AI

Humans can validate automated decisions by, for example, interpreting the reasoning behind a flagged transaction, making it explainable and defensible to regulators. Financial institutions are also under increasing pressure to use Explainable AI (XAI) tools to make AI-driven decisions understandable to regulators and auditors.

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Top Low/No Code AI Tools 2024

Marktechpost

Applications that take advantage of machine learning in novel ways are being developed thanks to the rise of Low-Code and No-Code AI tools and platforms. AI can be used to create web services and customer-facing apps to coordinate sales and marketing efforts better.

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Transparency in AI: How Tülu 3 Challenges the Dominance of Closed-Source Models

Unite.AI

The Importance of Transparency in AI Transparency is essential for ethical AI development. Without it, users must rely on AI systems without understanding how decisions are made. Transparency allows AI decisions to be explained, understood, and verified. This is particularly important in areas like hiring.