AI Assurance
-10%
portes grátis
AI Assurance
Towards Trustworthy, Explainable, Safe, and Ethical AI
Freeman, Laura; Batarseh, Feras A.
Elsevier Science & Technology
10/2022
600
Mole
Inglês
9780323919197
15 a 20 dias
Descrição não disponível.
1. An introduction to AI assurance
2. Setting the goals for ethical, unbiased and fair AI
3. An overview of explainable and interpretable AI
4. Bias, Fairness, and assurance in AI: Overview and Synthesis
5. An evaluation of the potential global impacts of AI assurance
6. The role of inference in AI: start S.M.A.L.L. with mindful models
7. Outlier detection using AI: a survey
8. AI assurance using casual inference: application to public policy
9. Data collection, wrangling and preprocessing for AI assurance
10. Coordination-aware assurance for end-to-end machine learning systems: the R3E approach
11. Assuring AI methods for economic policymaking
12. Panopticon implications of ethical AI: equity, disparity, and inequality in healthcare
13. Recent advances in uncertainty quantification methods for engineering problems
14. Socially responsible AI assurance in precision agriculture for farmers and policymakers
15. The application of AI assurance in precision farming and agricultural economics
16. Bringing dark data to light with AI for evidence-based policy making
2. Setting the goals for ethical, unbiased and fair AI
3. An overview of explainable and interpretable AI
4. Bias, Fairness, and assurance in AI: Overview and Synthesis
5. An evaluation of the potential global impacts of AI assurance
6. The role of inference in AI: start S.M.A.L.L. with mindful models
7. Outlier detection using AI: a survey
8. AI assurance using casual inference: application to public policy
9. Data collection, wrangling and preprocessing for AI assurance
10. Coordination-aware assurance for end-to-end machine learning systems: the R3E approach
11. Assuring AI methods for economic policymaking
12. Panopticon implications of ethical AI: equity, disparity, and inequality in healthcare
13. Recent advances in uncertainty quantification methods for engineering problems
14. Socially responsible AI assurance in precision agriculture for farmers and policymakers
15. The application of AI assurance in precision farming and agricultural economics
16. Bringing dark data to light with AI for evidence-based policy making
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence; assurance; intelligent systems; cyber security; healthcare; government; Deep Learning; Machine Learning; Reinforcement Learning; Computer Vision; agent-based systems; Natural Language Processing; text mining; prescriptive algorithms; predictive algorithms; knowledge-based systems; evolutionary algorithms
1. An introduction to AI assurance
2. Setting the goals for ethical, unbiased and fair AI
3. An overview of explainable and interpretable AI
4. Bias, Fairness, and assurance in AI: Overview and Synthesis
5. An evaluation of the potential global impacts of AI assurance
6. The role of inference in AI: start S.M.A.L.L. with mindful models
7. Outlier detection using AI: a survey
8. AI assurance using casual inference: application to public policy
9. Data collection, wrangling and preprocessing for AI assurance
10. Coordination-aware assurance for end-to-end machine learning systems: the R3E approach
11. Assuring AI methods for economic policymaking
12. Panopticon implications of ethical AI: equity, disparity, and inequality in healthcare
13. Recent advances in uncertainty quantification methods for engineering problems
14. Socially responsible AI assurance in precision agriculture for farmers and policymakers
15. The application of AI assurance in precision farming and agricultural economics
16. Bringing dark data to light with AI for evidence-based policy making
2. Setting the goals for ethical, unbiased and fair AI
3. An overview of explainable and interpretable AI
4. Bias, Fairness, and assurance in AI: Overview and Synthesis
5. An evaluation of the potential global impacts of AI assurance
6. The role of inference in AI: start S.M.A.L.L. with mindful models
7. Outlier detection using AI: a survey
8. AI assurance using casual inference: application to public policy
9. Data collection, wrangling and preprocessing for AI assurance
10. Coordination-aware assurance for end-to-end machine learning systems: the R3E approach
11. Assuring AI methods for economic policymaking
12. Panopticon implications of ethical AI: equity, disparity, and inequality in healthcare
13. Recent advances in uncertainty quantification methods for engineering problems
14. Socially responsible AI assurance in precision agriculture for farmers and policymakers
15. The application of AI assurance in precision farming and agricultural economics
16. Bringing dark data to light with AI for evidence-based policy making
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence; assurance; intelligent systems; cyber security; healthcare; government; Deep Learning; Machine Learning; Reinforcement Learning; Computer Vision; agent-based systems; Natural Language Processing; text mining; prescriptive algorithms; predictive algorithms; knowledge-based systems; evolutionary algorithms
