government 
Salesforce Marketing Cloud
MARCH 20, 2024
You can’t know why the AI does what it does until you understand how the LLM was trained and where its data came from. It’s estimated that Wikipedia makes up between 3%-5% of the scraped data used to train off-the-shelf LLMs. LLMs trained on this data are versatile, and can generalize their knowledge to a range of topics.
Sprout Social
SEPTEMBER 26, 2023
To gain a deeper understanding of this issue, it is important to delve into the mechanics of AI tools powered by generative pre-trained models (GPT). These tools rely on large language models (LLMs) that are frequently trained on publicly available internet content, including books, dissertations and artwork.
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Sprout Social
AUGUST 21, 2023
Leading tech companies, government entities like the United Nations and research and data science communities have worked to shape and publish guidelines to address ethical issues. Algorithmic bias and discrimination Since it learns from data, a poorly constructed or trained AI can demonstrate bias against underrepresented subsets of data.
Salesforce Marketing Cloud
DECEMBER 20, 2023
This lack of transparency threatens privacy and security, and fosters uncompensated use of copyrighted content, according to Senate testimony by Ramayya Krishnan, dean of Carnegie Mellon University’s Heinz College of Information Systems and Public Policy. And that’s being charitable. There’s not much independent auditing happening, anyway.
Spiralytics
JUNE 11, 2023
The potential for this technology is staggering, as governments worldwide are still determining the best laws and regulations to place for its safe usage. Ethical and Legal Concerns of Voice Cloning AI Governing bodies, businesses, and users are still working to understand all the ethical and legal concerns that an AI voice clone can bring.
Content Standard
SEPTEMBER 19, 2023
Foundational models are often trained on copyrighted works but don’t provide reliable sourcing in their results. They are cloud-based platforms that allow users to interface with pre-trained AI models directly in an unstructured environment. The origin and originality of content.
Martech
MARCH 14, 2023
Misinformation, bias, copyright and transparency are all serious considerations in the ethical use of ChatGPT in marketing. It’s trained to predict the content of an answer without evaluating its basis. Gartner expects 70% of enterprise CMOs will identify accountability for the ethical use of AI among their top concerns by 2025.
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