1 |
Transparency in Algorithms |
Ensure that AI algorithms are transparent and interpretable to stakeholders. |
Fairness |
Proposed |
2 |
Bias Mitigation |
Employ techniques to identify and reduce bias in AI systems. |
Fairness |
In Progress |
3 |
Accountability Measures |
Establish clear accountability for AI decision-making processes. |
Governance |
Completed |
4 |
Diversity in Dataset |
Utilize diverse datasets to train AI systems for better generalization. |
Ethics |
In Progress |
5 |
Stakeholder Involvement |
Involve a diverse group of stakeholders in AI development processes. |
Fairness |
Proposed |
6 |
Regular Audits |
Conduct regular audits of AI systems to assess their fairness and performance. |
Governance |
Scheduled |
7 |
User Privacy Protection |
Implement strong data protection measures to safeguard user privacy. |
Ethics |
Ongoing |
8 |
Open Source Contributions |
Encourage open-source approaches to promote collaborative development and scrutiny. |
Transparency |
Proposed |
9 |
Educate Developers |
Provide education and training for developers on ethical AI practices. |
Education |
Completed |
10 |
Impact Assessment |
Perform impact assessments before deploying new AI models. |
Governance |
In Progress |
11 |
Inclusive Design |
Design AI systems with inclusivity in mind to cater to all user demographics. |
Ethics |
Proposed |
12 |
Ethical Guidelines |
Develop comprehensive ethical guidelines for AI development and usage. |
Ethics |
Completed |
13 |
Feedback Mechanisms |
Implement mechanisms for users to provide feedback on AI system performance. |
User Engagement |
In Progress |
14 |
Monitoring Systems |
Create monitoring systems to continuously track AI decisions post-deployment. |
Governance |
Ongoing |
15 |
Regulatory Compliance |
Ensure compliance with local and international regulations regarding AI. |
Governance |
Completed |
16 |
Responsible Data Usage |
Prioritize responsible usage of data, avoiding data harvesting without consent. |
Ethics |
In Progress |
17 |
Explainability Standards |
Set standards for explainability to support understanding of AI outputs. |
Transparency |
Proposed |
18 |
Ethical Review Boards |
Establish ethical review boards for major AI projects. |
Governance |
Completed |
19 |
Collaborative Partnerships |
Form partnerships with academia and civil society to enhance AI fairness. |
Collaboration |
Proposed |
20 |
User-Centric Design |
Focus on user needs and experiences during AI development. |
Ethics |
In Progress |
21 |
Performance Metrics |
Develop metrics to measure fairness and bias in AI systems consistently. |
Fairness |
Scheduled |
22 |
Continuous Learning |
Integrate mechanisms for continuous learning and improvement in AI systems. |
Development |
Ongoing |
23 |
Cultural Sensitivity |
Incorporate cultural sensitivity in AI to avoid misinterpretation or offense. |
Ethics |
Proposed |
24 |
Algorithmic Fairness |
Adopt frameworks for algorithmic fairness to assess outcomes equitably. |
Fairness |
In Progress |
25 |
AI Audit Trails |
Maintain detailed audit trails for AI decisions for accountability purposes. |
Governance |
Scheduled |
26 |
User Rights Awareness |
Inform users of their rights regarding AI data and decisions. |
Ethics |
In Progress |
27 |
Interdisciplinary Approaches |
Encourage interdisciplinary approaches to AI development. |
Collaboration |
Proposed |
28 |
Sustainability Considerations |
Consider environmental impacts in AI development and deployment. |
Ethics |
Ongoing |
29 |
Public Engagement |
Engage the public in discussions about AI technologies and their implications. |
Ethics |
Completed |
30 |
Assessment of Algorithms |
Institute procedures for assessing the societal impact of algorithms. |
Governance |
In Progress |
31 |
Feedback Loop Creation |
Create feedback loops for users to contribute to AI system refinement. |
User Engagement |
Ongoing |
32 |
Data Ownership Clarity |
Clarify data ownership rights to users and organizations involved. |
Ethics |
Proposed |
33 |
Gender Equity |
Incorporate gender equity considerations in AI systems to reduce bias. |
Fairness |
Completed |
34 |
Inclusive Testing |
Test AI systems inclusively across varying demographics. |
Fairness |
In Progress |
35 |
Security Measures |
Implement strong security measures to protect AI systems against misuse. |
Governance |
Completed |
36 |
Recourse Availability |
Ensure users have avenues for recourse against AI decision-making. |
Ethics |
Scheduled |
37 |
Transparency Reports |
Publish regular transparency reports detailing AI system functioning and impacts. |
Transparency |
Proposed |
38 |
Community Involvement |
Encourage community involvement in AI project development. |
Collaboration |
Ongoing |
39 |
Scalable Fairness Practices |
Develop scalable approaches to ensure fairness in larger systems. |
Fairness |
In Progress |
40 |
Data Minimization |
Adopt principles of data minimization in AI operations. |
Ethics |
Completed |
41 |
Crisis Management Planning |
Prepare crisis management strategies in cases of AI failures. |
Governance |
Proposed |
42 |
Research Accountability |
Hold AI researchers accountable for the impact of their technologies. |
Governance |
In Progress |
43 |
AI Ethics Curriculum |
Integrate AI ethics into educational curricula for developers and data scientists. |
Education |
Ongoing |
44 |
User Empowerment |
Empower users to understand and control AI impacts on their lives. |
Ethics |
Proposed |
45 |
Guidelines for AI Use Cases |
Develop guidelines that define acceptable AI use cases. |
Governance |
Completed |
46 |
Protection Against Manipulation |
Design AI systems to protect users from manipulative practices. |
Ethics |
Scheduled |
47 |
Foster Innovation |
Encourage innovative solutions that promote fairness in AI technologies. |
Innovation |
Ongoing |
48 |
Simulations for Bias Testing |
Use simulations to test AI systems for potential biases before deployment. |
Fairness |
Proposed |
49 |
Public Awareness Programs |
Launch programs to raise public awareness about AI technologies and their societal impacts. |
Ethics |
In Progress |
50 |
Guidelines for Data Collection |
Establish guidelines for ethically collecting data for training AI. |
Ethics |
Completed |
51 |
Investment in Community Projects |
Support AI projects that directly benefit marginalized communities. |
Collaboration |
Proposed |
52 |
Ethics in AI Research |
Promote ethical considerations in AI research methodologies. |
Education |
In Progress |
53 |
Adaptive Algorithms |
Develop algorithms that can adapt based on user feedback for fairness. |
Fairness |
Ongoing |
54 |
Risk Assessment Protocols |
Create protocols for risk assessment of AI implementations. |
Governance |
Scheduled |
55 |
Responsible AI Marketing |
Market AI technologies responsibly without misleading claims. |
Ethics |
Completed |
56 |
Third-Party Audits |
Invite third-party organizations to audit AI systems for fairness and performance. |
Governance |
In Progress |
57 |
Civic Engagement Platforms |
Develop platforms that allow for civic engagement in AI decision-making processes. |
Collaboration |
Proposed |
58 |
Intervention Strategies |
Define intervention strategies for when AI systems exhibit bias. |
Fairness |
Ongoing |
59 |
Corporate Responsibility |
Encourage corporations to uphold ethical standards in AI development. |
Governance |
Completed |
60 |
Public Consultations |
Hold public consultations prior to launching new AI systems. |
Governance |
Proposed |
61 |
Open Data Initiatives |
Promote open data initiatives to foster transparency and innovation. |
Transparency |
Completed |
62 |
Assessment of Economic Impact |
Evaluate the economic impact of AI technologies on various sectors. |
Governance |
In Progress |
63 |
AI Literacy Programs |
Implement AI literacy programs for the general public to foster understanding. |
Education |
Scheduled |
64 |
Data Sovereignty Practices |
Respect data sovereignty and comply with local data protection laws. |
Ethics |
Ongoing |
65 |
Accessibility Standards |
Develop AI systems that adhere to accessibility standards for all users. |
Fairness |
Completed |
66 |
Global Collaboration |
Engage in global collaborations to address AI challenges and standards. |
Collaboration |
Proposed |
67 |
Mental Health Considerations |
Incorporate mental health considerations when designing AI systems. |
Ethics |
In Progress |
68 |
Long-term Monitoring |
Plan for long-term monitoring of deployed AI systems for impact assessment. |
Governance |
Ongoing |
69 |
Regulatory Agencies Collaboration |
Collaborate with regulatory agencies to ensure compliance and standards. |
Governance |
Completed |
70 |
Ethical Data Sharing |
Encourage ethical sharing of data among organizations while protecting user rights. |
Ethics |
Proposed |
71 |
Impact on Employment |
Study the potential impacts of AI on employment and the workforce. |
Governance |
In Progress |
72 |
Engagement with Psychologists |
Work with psychologists to understand human-AI interaction better. |
Collaboration |
Ongoing |
73 |
Real-World Testing |
Conduct real-world testing of AI systems in varied environments before deployment. |
Fairness |
Scheduled |
74 |
Emotional Design |
Design AI systems that acknowledge users' emotional states. |
Ethics |
Completed |
75 |
Recommendation Systems Transparency |
Ensure that recommendation systems explain their operation and constraints. |
Transparency |
Proposed |
76 |
Community Feedback Channels |
Create channels for community feedback on AI technologies used locally. |
User Engagement |
In Progress |
77 |
Ethical Considerations in Data Labeling |
Ensure ethical considerations in the data labeling process. |
Ethics |
Completed |
78 |
Standardized Reporting |
Develop standardized reporting frameworks for AI system outcomes. |
Governance |
Proposed |
79 |
Cross-Disciplinary Research |
Encourage cross-disciplinary research on AI impacts and applications. |
Collaboration |
Ongoing |
80 |
Guidelines for New Technologies |
Establish guidelines for the development of emerging AI technologies. |
Governance |
Completed |
81 |
Socioeconomic Impact Studies |
Conduct studies to assess the socioeconomic impacts of AI technologies. |
Governance |
Scheduled |
82 |
Striving for AI Equity |
Promote strategies that strive for equity in AI access and usage. |
Fairness |
In Progress |
83 |
Ethics of Automated Systems |
Evaluate ethical implications associated with automated decision-making systems. |
Ethics |
Ongoing |
84 |
Public Trust Initiatives |
Create initiatives aimed at building public trust in AI technologies. |
Ethics |
Completed |
85 |
Mandatory Reporting of Issues |
Require mandatory reporting of issues encountered in AI systems. |
Governance |
Proposed |
86 |
Inclusive AI Competitions |
Host competitions that promote the creation of inclusive AI applications. |
Collaboration |
In Progress |
87 |
Fair Compensation Models |
Develop fair compensation models for data contributors. |
Ethics |
Ongoing |
88 |
AI Research Ethics Boards |
Establish ethics boards specifically for AI research projects. |
Governance |
Completed |
89 |
Cross-Cultural Training |
Provide cross-cultural training for developers working on AI systems. |
Education |
Scheduled |
90 |
Documentation Standards |
Set documentation standards for AI algorithms to ensure clarity and usability. |
Transparency |
In Progress |
91 |
Diversity in AI Teams |
Promote diversity within AI development teams to enhance perspectives and fairness. |
Fairness |
Ongoing |
92 |
Tech for Good Initiatives |
Support and fund initiatives that leverage AI for social good. |
Collaboration |
Completed |
93 |
Guidelines for AI Partnerships |
Create guidelines for ethical partnerships in AI development. |
Governance |
Proposed |
94 |
Review of Performance Metrics |
Regularly review performance metrics to assess system fairness and equity. |
Fairness |
Scheduled |
95 |
Ethical Frameworks Creation |
Support the creation of ethical frameworks specific to AI deployment. |
Governance |
In Progress |
96 |
Crisis Response Protocols |
Develop protocols for responding to crises arising from AI failures. |
Governance |
Ongoing |
97 |
International Cooperation |
Encourage international cooperation for setting global AI standards. |
Collaboration |
Proposed |
98 |
Longitudinal Studies |
Conduct longitudinal studies on the long-term effects of AI on society. |
Governance |
Completed |
99 |
Impact on Vulnerable Groups |
Evaluate AI's impact specifically on vulnerable and marginalized groups. |
Fairness |
In Progress |
100 |
Open Protocols for AI Development |
Develop open protocols that promote best practices in AI development. |
Transparency |
Proposed |