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Forging a framework for central bank digital currencies and tokenization of other financial assets

IBM Journey to AI blog

Under such centrally governed systems, accountability needs to co-exist with privacy, while both need to respect the need for authorized audits. That ceiling has been shattered by recent work done by IBM Research®, which delivers a high performing framework for CBDCs that combines privacy, regulation compliance and advanced resilience.

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The Current State of AI in Marketing 2024

Unite.AI

The use of AI in marketing has changed how businesses communicate with clients. According to a McKinsey study , around 75% of the value AI use cases could deliver falls across four areas, and marketing is one of these. A recent GetResponse survey revealed that 45% of respondents already use AI tools in their marketing strategies.

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How Bias Will Kill Your AI/ML Strategy and What to Do About It

Unite.AI

Models with outputs that impact business, financial, health, or personal situations must be trusted, or they won’t be used. Traditionally, data acquisition and collaborations are challenged by privacy and/or IP protection concerns–sensitive data can't be sent to the model owner, and the model owner can’t risk leaking their IP to a data owner.

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Essential Practices for Adtech Companies to Uphold Data Security Standards

Unite.AI

However, the increasing concerns surrounding privacy, data breaches, and unethical practices have underscored the critical need for these companies to prioritize transparency and accountability in their data security practices. The rapid evolution of technology has presented both opportunities and challenges for AdTech companies.

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Zoom Uses Customer Data for AI Training; Faces Legal Quandary

Analytics Vidhya

In a new twist of events, Zoom, the popular videoconferencing platform, is entangled in a legal predicament regarding using customer data for training artificial intelligence (AI) models. The controversy centers around its recent terms and conditions, sparking user outrage and raising pertinent questions about data privacy and consent.

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Celebrating the women of IBM AI Ethics

IBM Journey to AI blog

Three decades before the US Equal Pay Act of 1963, IBM’s CEO, Thomas J. “Women are as capable as anybody else to contribute to the technical development of AI, and they also care deeply about the impact of AI on people and society. stated, “Men and women will do the same kind of work for equal pay.

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Igor Jablokov, Pryon: Building a responsible AI future

AI News

Critical ethical challenges in AI “There’s not one, maybe there’s almost 20 plus of them,” Jablokov stated when asked about the most critical ethical challenges. Bias and adversarial content seeping into training data is another major worry, according to Jablokov. “They didn’t greenlight it.