Session
Safe AI use needs policies, regulations, and ethical frameworks that ensure accountability, transparency, and fairness in the design, deployment and use of AI systems. Effective governance promotes responsible AI development, deployment, use and implementation, and ex ante auditing while addressing concerns related to privacy, bias, individual autonomy, security, and social impact. It establishes guidelines for data protection, algorithmic transparency, and human oversight. Moreover, good governance fosters public trust and confidence in AI technologies, encouraging adoption and acceptance. It encourages collaboration among governments, industry, academia, technical communities and civil society to develop comprehensive frameworks that address technical, social, cultural, and ethical dimensions of AI. By promoting transparency, inclusivity, and ethical considerations, good governance facilitates AI's integration into society, supporting its safe and beneficial application. Ultimately, by prioritizing good governance, we can ensure that AI technologies are designed, developed, deployed and utilized in a manner that aligns with societal values, respects human rights, and contributes to sustainable development.
Through multistakeholder exchanges of national and regional IGF initiatives, this session will address the following policy questions.
- What are the current global AI regulations, and how can international collaboration ensure ethical AI governance?
- How can policymakers address ethical concerns in AI, including privacy, bias, and transparency, and what implications do these concerns have on AI technologies like autoregressive language models and quantum computing?
- What are the implications of AI, especially large language models, and how can policies be established to maximize benefits while mitigating risks?
- How should policy frameworks be designed to ensure secure and responsible use of AI powered by quantum computing?
- In what ways can AI development prioritize ethical considerations like transparency, fairness, and accountability?
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The session is co-organized by the following NRIs:
NRIs Collaborative Session on Artificial Intelligence & Emerging Tech |
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NRI Name |
NRI coordinator |
Experts delegated by the NRIs multistakeholder organizing committee to join the organizing team |
Bangladesh IGF |
Mohammad Abdul Haque Anu |
Mohammad Abdul Haque Anu |
Benin IGF |
Muriel ALAPINI |
Ganiath BELLO |
Bolivia IGF |
Roberto Zambrana |
Roberto Zambrana |
Brazilian IGF |
Beatriz Rossi Corrales |
Beatriz Rossi Corrales |
Chile IGF | Steffan Berres | Steffan Berres |
Colombian IGF |
Julián Casasbuenas G. |
Mariana Jaramillo Lopez, Google Colombia |
DR Congo Youth IGF |
Athanase Bahizire |
Athanase Bahizire |
Ecuador IGF |
Carlos Vera |
Carlos Vera |
Ethiopia IGF |
Samuel Lemma |
Samuel Lemma |
EuroDIG | Sandra Hoferichter | Sandra Hoferichter |
France IGF | Lucien Castex | Lucien Castex |
Ghana IGF |
Wisdom Donkor |
Wisdom Donkor and Francis Amaning |
Haiti IGF |
Obed Sindy |
Obed Sindy |
Italy IGF |
Concettina Cassa |
Concettina Cassa |
Japan IGF |
Masanobu Katoh |
Masanobu Katoh
|
Liberia IGF |
Peterking Quaye |
Peterking Quaye |
Nigeria IGF |
Igonor Oshoke Samson |
Igonor Oshoke Samson |
North African IGF |
Tijani Ben Jemaa |
Tijani Ben Jemaa |
Myanmar Youth IGF |
Phyo |
Phyo |
Panama IGF |
Lia Hernandez |
Lia Hernandez and María Elena García |
Peru IGF |
Elaine Ford |
Elaine Ford |
Québec IGF |
Pierre-Jean Darres |
Pierre-Jean Darres |
Spain IGF |
Jose Felix Hernandez Gil |
Jose Felix Hernandez Gil |
Tanzania IGF |
Nazar Nicholas |
Nazar Nicholas |
The Netherlands IGF |
Dorijn Boogaard |
Dorijn Boogaard |
UK IGF | Nigel Hickson | Nigel Hickson |
Uruguay IGF | Laura Margolis | Laura Margolis |
Youth IGF India |
Ihita Gangavarapu |
Ihita Gangavarapu |
Youth LACIGF |
Umut Pajaro Velasquez |
Umut Pajaro Velasquez |
Safe AI use needs policies, regulations, and ethical frameworks that ensure accountability, transparency, and fairness in the design, deployment and use of AI systems. Effective governance promotes responsible AI development, deployment, use and implementation, and ex ante auditing while addressing concerns related to privacy, bias, individual autonomy, security, and social impact. It establishes guidelines for data protection, algorithmic transparency, and human oversight. Moreover, good governance fosters public trust and confidence in AI technologies, encouraging adoption and acceptance. It encourages collaboration among governments, industry, academia, technical communities and civil society to develop comprehensive frameworks that address technical, social, cultural, and ethical dimensions of AI. By promoting transparency, inclusivity, and ethical considerations, good governance facilitates AI's integration into society, supporting its safe and beneficial application. Ultimately, by prioritizing good governance, we can ensure that AI technologies are designed, developed, deployed and utilized in a manner that aligns with societal values, respects human rights, and contributes to sustainable development.
Through multistakeholder exchanges of national and regional IGF initiatives, this session will address the following policy questions.
What are the current global AI regulations, and how can international collaboration ensure ethical AI governance?
How can policymakers address ethical concerns in AI, including privacy, bias, and transparency, and what implications do these concerns have on AI technologies like autoregressive language models and quantum computing?
What are the implications of AI, especially large language models, and how can policies be established to maximize benefits while mitigating risks?
How should policy frameworks be designed to ensure secure and responsible use of AI powered by quantum computing?
In what ways can AI development prioritize ethical considerations like transparency, fairness, and accountability?
Takeaways
- Brazil established AI strategy with the objective to fostering and improving life
- AI policy is challenging and a multistakeholder work is important especially for the ethical issues
- It is important that at the ecosystem level everybody takes their responsability to ensure an ethical uses of those technologies
- The technologies bring out the most possible outcomes in critical sectors but to make it better, the products and tools need to be use carefully.
- The global consensus on: explainability, trustworthy AI, human-centered solutions can be used to advance regulatory implementation
Call-to-action
- Global and Fair regulations
- Multiskateholders works to ensure all the ecosystem participation
Report
-The multistakeholder approach here is very important and shouldn't be replaced by one uniform regulation that everybody has to adhere to in the same way.
We need to have A.I. literacy, in addition to digital literacy, A.I. literacy is extremely important, the capacity building and awareness around that is very important.
When we are talking about national regional, sub regional and youth initiatives each of them have different topic that's are important in their respective jurisdictions and home regions. It's really important to remember that it is, A.I. really holds an immense importance for our societal development and offers a lot of transformative opportunities across various sectors. A.I. has the potential to enhance efficiency, productivity and innovation and drive a lot of economic growth and address a lot of challenges we have in the society.
From healthcare, of course coming out of pandemic, from education to transport and energy, this emerging tech can really revolutionize the processes and improve a lot of decision-making.
But amidst all of this really good things that A.I. can bring us, we always have to remember that there are harms. And we definitely need good governance to be able to leverage its actual benefits to humanity.
So talking about safe A.I., we need policies. We need appropriate regulations and ethical frameworks to guide the development of this. We need to ensure accountability, transparency, and fairness in the design, the deployment and use of A.I. systems.
TAKEAWAYS
- A.I. should be recognised as an emerging technology with the potential to transform social dynamics.
- In 2020 Brazil established artificial intelligence strategy for the ministry of science and technologic innovations. The objective is fostering innovation, bolstering competitiveness and improving the quality of life for its citizens. Always with ethical and responsible lands.
- The internet and digital ecosystem must be preserved and leveraged as key catalyst for innovation as basis for development. Addressing past, present and future concerns and technologies, emergent technologies such as intelligence and so on. In order to extract benefits for people and drive the development of our world with responsibility, fairness, equality and opportunities for all.
- While every Sustainable Development goal are important, healthcare and education because they are the pillars of social development.
- A.I. has its plus and cons
- The challenge lies in ensuring citizens have the A.I. literacy now, not only digital literacy but A.I. literacy to discern when to share data and when to abstain.
- Data remains paramount. In our age of data privacy, inform and enlighten, consent becomes essential.
- The importance of the multistakeholder participation both in the process of designing how A.I. should be and the governance.
- Some participants expressed their concern regarding the multiple dangers of generative A.I. with emphasis in this information and how this can have severe repercussion, particularly in political campaigns.
- There are so many different regulatory frameworks and everybody is trying right now very quickly to develop best practices.
- The multistakeholder approach here is very important and shouldn't be replaced by one uniform regulation that everybody has to adhere to in the same way.
CALL-TO-ACTION
- If we want to create a framework, meaningful partnership require in combination of perspectives from the global south because the majority of the world lives in the Global South.
- It was highlighted the environment and impact of A.I. and emerging technologies in assessing the necessity or addressing the consequences of widespread A.I. implementation.
- It’s necessary to consider language barrier sensitivities to guaranty these technologies are comprehensive and are made for everyone.
- There are various stakeholders and everybody has responsibilities to add towards ensuring at the ecosystem level when A.I. is used it has to be used responsibly.
- No one is denying technology brings out the most possible outcomes in critical sectors. Just to make it work better from the ecosystem look is important.
- There’s great need for increasing awareness on A.I.
We need to have A.I. literacy, in addition to digital literacy, A.I. literacy is extremely important, the capacity building and awareness around that is very important.
- Some regions and states might also have different concerns, different attitudes and culture, policy makers should be able to adapt quickly to these general principles to concrete instruments for their own situation.
- Investment in educational programmes is needed to understand the benefits of the technology as well as the risks of this technology.
- We need to continue with multistakeholder approach, specifically because technology is changing fast and it's revolving.
- Having core principles when we are looking forward to creating a regulatory framework or any framework is extremely important.