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Reference_description_with_linked_URLs_______________________ | Notes___________________________________________________ | ||||
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Ai-governance1. gdoc | |||||
data-governance-notes1. gdoc | |||||
-sybal-210414-christine-stear-governance-model-p1-m4a-d2e4803e-d756st.docx. link | |||||
Governance Concepts gdoc | |||||
ISO-42001 Responsible AI Standard draft | |||||
AWS - iso-42001-a-new-foundational-global-standard-to-advance-responsible-ai | |||||
AI-responsible-oreilly-2023-dataiku-Machine Learning for High-Risk Applications.pdf. link
| ebook on AI regulations, case studies with focus on high risk apps, explainable AI, AI security ** not much on data privacy or full STEAR life cycle concepts | ||||
ANSI - using-https://digitalgovernanceinstitute.com/ | Improving Trust in multi-party services - models, strategies ** | ||||
ANSI - using-ai-responsibly-us-leads-efforts-to-develop-iso-iec-42001 | |||||
genai-uk-2024-Generative AI framework for HM Government.pdf. link
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Safety and Glo6al Governance of Generativ.e Al Report.pdf. link
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Khub > Generative AI: ChatGPT and more | |||||
chatgpt-review1 gdoc link | |||||
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chatgpt-for-dummies-2023-w_wile460.pdf. link
| worth a quick read ** | ||||
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| Microsoft adds ChatGPT to Bing with rules | ||||
good overview on basic prompt sequences with context for a topic | |||||
chatgpt-medium.com-Stop doing this on ChatGPT and get ahead of the 99 of its users.pdf link | good overview on basic prompt sequences with context for a topic | ||||
generative-ai-WEF_Presidio_Recommendations_on_Responsible_Generative_AI_2023 link generative-ai-WEF_Presidio_Recommendations_on_Responsible_Generative_AI_2023 file |
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There are tools online that promise to sniff out fakes if you upload a file or paste a link to the suspicious material. But some, like Microsoft's authenticator, are only available to selected partners and not the public. That's because researchers don't want to tip off bad actors and give them a bigger edge in the deepfake arms race.
AI Governance Concepts
ADGM > Automated Digital Governance Manager from SWT
using original STEAR architecture and concepts, implements automated digital governance services engineered for a specific domain, goals, policies, procedures, transactions
Setup the governance domain
Track the transaction behavior for compliance with the policies and parameters for the specific procedures
Escalate the exceptions to the appropriate registered exception handler
Analyze the transactions for trends, changes, patterns identifying areas of concern
Remediate the actors, transactions, policies, procedures, parameters or goals to meet specific governance objectives in the domain
see the 2016 STEAR example on managing telemarketing behavior of auto dealers against regulations and OEM policies for compliance
Trusted AI
TRUSTED (Targeted, Reliable, Understood, Secure, stress-Tested, Ethical and Durable)
TRUSTED AI Strategy: Bank of England - 2024 - James Benford
Models will need to be TRUSTED (Targeted, Reliable, Understood, Secure, stress-Tested, Ethical and Durable) to ensure their ethical, safe and effective application across the organisation.
AI governance is critical to ensuring that we use AI in a way that enables experimentation and innovation while providing mitigants for risks, including data, model and third-party technology risks. We have completed an initial review of our internal policiesfootnote[26] and put in place interim AI governance arrangements for our experimentation phase. We are completing a broader review, including by learning from others’ experience, as we continue with our AI pilots, work towards our AI strategy, and get ready to scale. The appropriate governance and safeguards for AI and its use is an evolving field; we will keep abreast with the evolution of international and domestic regulation, legislation, and best practice, to ensure we remain at the forefront of safe and responsible adoption.
Based on our initial work on internal uses, we believe there are several dimensions that need to be satisfied for AI models to be TRUSTED to inform our decision making at scale and effectively underpin our work to maintain monetary and financial stability. Running across all of them is the critical importance of humans being in the loop, in all aspects of the use of AI – development, deployment, operation and use – and both supported and held accountable for their role.
T is for Targeted. AI work needs to be focused on a tightly defined use case
R, is for Reliable. We are focused on reliable AI systems
U is for Understood. models themselves and the data that underlies them and their decisions and results need to be clear and comprehensible
S is for Secure.
T is for stress-Tested.
E is for Ethical.
E is for Evolving. Solutions and strategies need to evolve effecively and efficiently in line with good governance
D is for Durable. creating durable AI systems that can be sustained. Our data foundations and Data and Analytics need to continue to evolve
ADGM > Automated Digital Governance Manager from SWT
using original STEAR architecture and concepts, implements automated digital governance services engineered for a specific domain, goals, policies, procedures, transactions
Setup the governance domain
Track the transaction behavior for compliance with the policies and parameters for the specific procedures
Escalate the exceptions to the appropriate registered exception handler
Analyze the transactions for trends, changes, patterns identifying areas of concern
Remediate the actors, transactions, policies, procedures, parameters or goals to meet specific governance objectives in the domain
see the 2016 STEAR example on managing telemarketing behavior of auto dealers against regulations and OEM policies for compliance
Compliance Governance - supports regulations or standards
Compliance with Regulations or other standards.
Regulatory compliance may often be implemented in systems as data rules in programs, smart contracts etc
An IRS regulation requiring banks to report deposit details of greater than $5000 as part of AML programs is regulatory governance.
Operations Governance - supports operations policy effectiveness
Operations governance measures the effectiveness of policies using appropriate metrics.
Operations governance may be more dynamic, real-time.
AI and ML may add useful insights.
Using AI to identify patterns of accounts that structure multiple transactions always below $5000 within a 24 hour period may generate a SAR to investigate if the account is used money laundering effectively
generative-ai-WEF_Presidio_Recommendations_on_Responsible_Generative_AI_2023
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AI Alliance for AI Governance - Meta and IBM
Meta, IBM Working With Startup to Test AI Model Safety
ai-governance-basic-concepts-ibm-2023.pdf link
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Wolfram for Math and more precise responses
https://www.youtube.com/watch?v=AsS5lIsirVA
If you use ChatGPT for a lot of coding or mathematics, then Wolfram is a must-have ChatGPT productivity plugin. This plugin essentially takes the effectiveness of ChatGPT when it comes to mathematics and increases it dramatically. If you’ve seen the viral tweets about people using ChatGPT to calculate a weight loss regimen and want to do the same yourself, this is the plugin you need.
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sample code block
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