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2. Algorithmic transparency - Wikipedia

   en.wikipedia.org/wiki/Algorithmic_transparency

   Specifically, "algorithmic transparency" states that the inputs to the algorithm and the algorithm's use itself must be known, but they need not be fair. " Algorithmic accountability " implies that the organizations that use algorithms must be accountable for the decisions made by those algorithms, even though the decisions are being made by a ...

3. ACM Conference on Fairness, Accountability, and Transparency

   en.wikipedia.org/wiki/ACM_Conference_on_Fairness...

   The topic provides an interdisciplinary challenge of bridging the gap of transparency between technical and non technical academics and policy makers to ensure the safety and equity of algorithmic systems as they advance at a rapid rate. [6] Some solutions and techniques that have been discovered include Explainable artificial intelligence (XAI).

4. Artificial intelligence marketing - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence...

   Artificial intelligence has transformed the digital marketing landscape by allowing businesses to capture large amounts of consumer data, leading to data-driven marketing strategies. Businesses like Amazon can utilize user’s purchase, search, and viewing history on their platforms, to create customized user experiences.

5. Stanford researchers issue AI transparency report, urge tech ...

   www.aol.com/news/stanford-researchers-issue-ai...

   Stanford University researchers issued a report on Wednesday measuring the transparency of artificial intelligence foundation models from companies like OpenAI and Google, and the authors urged ...

6. Explainable artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Explainable_artificial...

   In the 2010s public concerns about racial and other bias in the use of AI for criminal sentencing decisions and findings of creditworthiness may have led to increased demand for transparent artificial intelligence. [7] As a result, many academics and organizations are developing tools to help detect bias in their systems. [60]

7. AI and ethics: Business leaders know it’s important, but ...

   www.aol.com/finance/ai-ethics-business-leaders...

   Many say that AI won’t necessarily kill jobs, but AI-enabled workers may come to take your job if you don’t evolve. AI and ethics: Business leaders know it’s important, but concerns linger ...

8. Open-source artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Open-source_artificial...

   Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [ 1 ]

9. Open Letter For AI Companies Calls For Better Transparency ...

   www.aol.com/open-letter-ai-companies-calls...

   Currently, AI companies are not strictly obligated to share information with the government related to their systems’ capabilities and limitations, protective measures, and risk levels of ...