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Responsible AI : Governance Tools
[/custom_heading][/vc_column][/vc_row][vc_row bg_type=”” dima_canvas_style=”” translate_x=”0″ dima_z_index=”0″ animate_item=”” delay_duration=”” delay_offset=””][vc_column bg_type=”” dima_canvas_style=”” min_height=”” translate_x=”0″ dima_z_index=”0″ delay=”” delay_duration=”” delay_offset=”” width=”1/1″][accordion model=”default” id=”” class=”” style=””][accordion_item icon_fontawesome=”fa fa-angle-down” parent_id=”” title=”Charters & Manifestos” id=”” class=”” style=””]
- Accenture, Universal principles of data ethics
- ACM (Association for Computing Machinery), ACM Code of Ethics and Professional Conduct
- Asilomar Conference, Asilomar AI Principles
- Crédit Agricole, Charte des Données Personnelles
- Data.world, Community Principles on Ethical Data Practices
- Deutsche Telekom, Deutsche Telekom’s guidelines for artificial intelligence
- Digital Catapult’s Machine Intelligence Garage, Ethics Framework
- EduLab, Data Ethics
- Google, AI at Google: our principles
- IEEE-CS (Institute for Electrical and Electronics Engineers) & ACM (Association for Computing Machinery), Software Engineering Code of Ethics
- IEEE-CS (Institute for Electrical and Electronics Engineers), The IEEE Global iniative for Ethical Considerations in AI and Autonomous Systems
- Lab RH, CFE-CGC, Charte éthique et numérique RH
- MAIF, Pour un monde numérique résolument humain et éthique
- Microsoft, Microsoft AI principles
- PLOS, Ten simple rules for responsible big data research
- SAP, SAP’s Guiding Principles for Artificial Intelligence
- Telefonica, AI Principles of Telefónica
- The Robot of the year, The Robot Of The Year principles (Criteria)
[/accordion_item][accordion_item icon_fontawesome=”fa fa-angle-down” parent_id=”” title=”Committees & expert panels” id=”” class=”” style=””]
- AXA, Data Protection and Ethics Panel
- Axon, Axon AI and Policing Technology Ethics Board
- Australian Computer Society, National Management Committee
- DeepMind, DeepMind Ethics & Society
- Facebook, Facebook AI ethics board
- Lucid, Ethics Advisory Panel
- Microsoft, AI and ethics in engineering and research Committee
[/accordion_item][accordion_item icon_fontawesome=”fa fa-angle-down” parent_id=”” title=”Checklists & impact assessment tools” id=”” class=”” style=””]
- AI Now Institute, Public Agency Algorithmic Impact Assessment
- DATAETHICS, Principles and Guidelines for Companies, Authorities and Organisations
- Government of Canada, Treasury Board Directive on Automated Decision Making
- Japanese Society for Artificial Intelligence (JSAI), Ethical Guidelines
- JF Gagné, AI Governance Framework
- Open Data Institute, The Data Ethics Canvas
- PWC, Responsible AI Diagnostic
- Supergovernance (on Medium), A Canadian Algorithmic Impact Assessment
- United Nations Global Pulse, Data innovation risk assessment tool
[/accordion_item][accordion_item icon_fontawesome=”fa fa-angle-down” parent_id=”” title=”Certification” id=”” class=”” style=””]IEEE Standards Association, The Ethics Certification Program for Autonomous and Intelligent Systems (ECPAIS)[/accordion_item][accordion_item icon_fontawesome=”fa fa-angle-down” parent_id=”” title=”Guidelines” id=”” class=”” style=””]Microsoft, Guidelines for human-AI interaction design
Microsoft, Guidelines for developing responsible conversational AI[/accordion_item][/accordion][/vc_column][/vc_row][vc_row bg_type=”” dima_canvas_style=”” translate_x=”0″ dima_z_index=”0″ animate_item=”” delay_duration=”” delay_offset=””][vc_column bg_type=”” dima_canvas_style=”” min_height=”” translate_x=”0″ dima_z_index=”0″ delay=”” delay_duration=”” delay_offset=”” width=”1/1″][dima_block id=”1502″][/vc_column][/vc_row]