Stephen Abram's Posts About Library Land
https://www.chatgptlibrarian.com/2023/03/using-chatgpt4-academic-librarian.html
“1. AI applications should protect human dignity, rights and fundamental freedoms. Create an AI policy that ensures compliance with requirements including driving fairness and transparency.
2. Ensure AI governance that is consistent with laws and regulations. Including responsibilities and frameworks to assess and review them throughout the entire life cycle of AI, e.g,. with model monitoring.
3. Mitigate the risks of AI applications– by setting up an adequate analytics and AI risk management framework and related processes.
4. Internal and external transparency to the extent permissible under applicable laws and regulations. Foster explainability, where applicable to help stakeholders make informed decisions while protecting privacy, confidentiality and security. Provide options for recourse.
5. Solid data protection standards, cyber security, data foundations and standardised systems are paramount. Consent to use the data, data quality and quantity are among the key factors to succeed with AI.
6. Clarity on where and how AI in combination with human processes has a positive impact on the value chain – be it to increase efficiency or enable new solutions and on its costs.
7. Understanding the limitations of AI in the customer journey. Human input might remain invaluable in some critical decisions to ensure digital trust.
8. Foster and commit to upskilling existing workforce on the use of new analytics and AI technologies
9. To ensure that the ongoing validation of the algorithms and adjustments is performed independently, an additional independent internal or external control function is recommended.
10. The use of AI will likely have profound effects on the insurance industry and society. Therefore, it is necessary to ensure a continuous dialogue with all stakeholders to be able to respond to changing needs and views.”
Corporate investment in AI is on the rise, driven by the tech’s promise
“According to a recent Accenture survey, 63% of organizations are now prioritizing AI over all other digital technologies. That might sound drastic. But on the other hand, it’s not entirely surprising, what with tech like GPT-4 and ChatGPT dominating the conversation about digital transformation.
Accenture’s stats are similar to McKinsey’s, which show that more than half of companies are investing more than 5% of their digital budgets in AI. Sixty-three percent, meanwhile, say that they expect their investment to increase over the next three years.
The enthusiasm is reflected in the growing financing AI startups have been able to attract. An analysis published by WriterBuddy, an AI content writing platform, found that corporate AI backing has risen consistently in the past decade, to the tune of billions.”
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“Here’s a great “rabbit hole” for my fellow demographic-data geeks to explore. Brief highlights from recent Pew Research Center reports on migration, religion, gender, politics, and more.”
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