TKI
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
Concrete results and practical guidelines. Less academic and more market focused outcomes.
From your perspective, which of the following thematic areas identified by the General Assembly Resolution 79/325 for the AI Dialogue reflect your priorities for urgent action and active engagement?
- Transparency, accountability, and human oversight
- AI capacity-building
- Safe, secure and trustworthy AI
Please briefly explain your selection.
These are my knowledge areas, so I may be biased, but I believe that if you address these, you build a solid basis for the rest of the thematic areas.
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
Competitiveness
How are the governance gaps and related developments/advances in the thematic areas you selected above affecting your country, region, or sector? Please highlight the most significant challenges.
Coming from a small country, it's difficult to be a pioneer. The impact is that developments are not always well-suited. In my sector (tech) we have to decide a direction and develop clear and practical guidelines for practitioners, always taking into consider competitiveness and ability to innovate. Too many discussions taking place sound theoretical, we need to have a more pragmatic and marker focus.
What role can the AI Dialogue play in advancing international cooperation on AI governance?
AI and governance are inter-related.
What are some of the existing initiatives, partnerships, or mechanisms that the AI Dialogue should build upon or connect with, and what added value could the AI Dialogue bring?
Don't know.
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
The private sector (where I am coming from) should demonstrate actual cases they come across to highlight challenges and insights for law makers to understand in a pragnatic and market- relevant way how policy should be shaped.
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
Women in tech, people from smaller countries. They need to be invited.
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
Use case presentation? Having mixed working groups from public and private sector?
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
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We offer algorithmic audit to companies who want to assess the impact of their AI usage. This impact can be in business (a trading company doing algorithmic trade) or ethical (a company using a recruitment Software, a bank using AI to take loan decisions) or other types of impact.