Deep Mind AI for AI Bias Mitigation
GPTKB entity
Statements (64)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:AI_technology
|
| gptkbp:addresses |
algorithmic discrimination
|
| gptkbp:advocates_for |
responsible AI use
|
| gptkbp:aims_to |
improve AI literacy
foster collaboration in AI research reduce bias in AI systems build trust in AI technologies create equitable AI solutions create a framework for ethical AI development create a more equitable AI landscape educate the public on AI bias encourage interdisciplinary research in AI ethics enhance public trust in AI technologies foster innovation in bias mitigation techniques improve transparency in AI influence policy on AI ethics promote diversity in AI research teams raise awareness about AI bias support ethical AI startups |
| gptkbp:analyzes |
case studies of biased AI systems
data sets for bias impact of bias on marginalized communities trends in AI bias research user feedback on AI systems |
| gptkbp:applies_to |
various AI applications
|
| gptkbp:collaborates_with |
non-profit organizations
research institutions |
| gptkbp:conducts |
impact assessments of AI systems
surveys on public perception of AI bias workshops on bias mitigation |
| gptkbp:contributes_to |
AI ethics research
|
| gptkbp:developed_by |
gptkb:Deep_Mind
|
| gptkbp:develops |
partnerships with tech companies
frameworks for accountability best practices for AI development guidelines for responsible AI deployment metrics for measuring bias strategies for mitigating bias tools for bias detection |
| gptkbp:engages_in |
community outreach
policy advocacy for AI ethics public discourse on AI ethics |
| gptkbp:enhances |
model performance
|
| gptkbp:evaluates |
AI systems for fairness
|
| gptkbp:focuses_on |
fairness in AI
|
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind AI for AI Bias Mitigation
|
| gptkbp:involves |
stakeholder engagement
|
| gptkbp:participates_in |
conferences on AI ethics
|
| gptkbp:promotes |
inclusive AI design
|
| gptkbp:provides |
guidelines for ethical AI
resources for understanding AI bias training for AI practitioners consultation for organizations on AI ethics insights on bias mitigation strategies. |
| gptkbp:publishes |
research papers on AI fairness
|
| gptkbp:research |
impact of bias on AI outcomes
|
| gptkbp:supports |
open-source initiatives
research on algorithmic fairness diverse data collection |
| gptkbp:utilizes |
machine learning techniques
|
| gptkbp:works_with |
government agencies
academic researchers |
| gptkbp:bfsParent |
gptkb:Deep_Mind
|
| gptkbp:bfsLayer |
5
|