2024-08-27 One-Minute Post
AI governance frameworks are becoming ubiquitous, with a focus on privacy. Enterprises are increasing AI adoption while addressing data privacy concerns. Startups are urged to champion responsible AI to mitigate bias throughout the AI lifecycle. Ethical AI governance is essential for fairness and bias prevention in financial institutions.
Articles we found interesting:
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1. 10 Essential Guidelines For Enterprise-Ready AI Solutions - Forbes link Highlight: I expect AI governance frameworks to become as ubiquitous as information security or privacy policies. For AI startups selling their products to …
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2. APEC Third Senior Officials' Meeting 2024: 6 Insights from Digital Week link Highlight: The importance of adopting and harmonizing regulatory frameworks that support the digital economy, especially in areas such as data privacy, AI …
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3. STUDY: AI Adoption Spends Jump Among Enterprises as Eliminating Data Privacy … link Highlight: STUDY: AI Adoption Spends Jump Among Enterprises as Eliminating Data Privacy Concerns Remains a Foremost Opportunity for Driving Long-Term Growth and …
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4. Towards inclusive innovation: How startups can champion responsible AI - YourStory.com link Highlight: Bias can emerge in various ways throughout the AI lifecycle—from data collection, processing and algorithm design to testing, system deployment, and …
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5. Readying business for the age of AI | MIT Technology Review link Highlight: You've got privacy challenges, data quality, completeness challenges, and then really training AI systems on data that's biased, which is easily done, …
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6. For 'frictionless credit', RBI to launch technology platform; to call it Unified Lending Interface link Highlight: “Ethical AI governance is essential to ensure fairness and prevention of bias. Financial institutions must ensure that AI models are explainable …
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