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Climate change is a global issue, but its localized impacts can vary significantly across different regions. These extreme events, and water quantity and quality issues more broadly, are pressing concerns in the Europe, Middle East, and Africa (EMEA) region, further aggravated by the uncertain impacts of climate change.
Especially because, while the CCS AI DPS tries to address some issues, such as ethical risks (though the effectiveness of this can also be queried), it makes clear that ‘quality, price and cultural fit (including social value) can be assessed based on individual customer requirements’.
Instead, it is about the quality of spending and analyzing fiscal policies and budgetary decisions to understand their impact. Data quality and availability are key. Generate disaggregated data to enable racial equity assessments, conduct monitoring and evaluation, and generate evidence to strengthen decision-making.
The AI impactassessment must: state the intended purpose of the AI and its expected benefit; identify the potential risk using the AI and any mitigation measures beyond the minimum practices outlined in the memo; and evaluate the quality of the data used in the AI design and development. race, age, sex, etc.);
Section 2(g) refers to AI risk management, and states that It is important to manage the risks from the Federal Government’s own use of AI and increase its internal capacity to regulate, govern, and support responsible use of AI to deliver better results for Americans. These efforts start with people, our Nation’s greatest asset.
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