The End Of Knowledge - Vault 4/10 - AI For Good - 2017 - Future Roadmap

graph LR classDef social fill:#d3f4ff, font-weight:bold, font-size:12px classDef risks fill:#ffd3e0, font-weight:bold, font-size:12px classDef ethical fill:#d3ffd4, font-weight:bold, font-size:12px classDef governance fill:#fff3d3, font-weight:bold, font-size:12px classDef inequality fill:#f3d3ff, font-weight:bold, font-size:12px classDef collaboration fill:#f9f9d4, font-weight:bold, font-size:12px A[Future Roadmap
Collaborating for Good] A --> B[AI for social good,
risks exist. 1] B --> C[AI rapidly surpassing
human decisions. 2] C --> D[AI helps SDGs,
needs ethical principles. 3] D --> E[Japan: AI roadmap
for Society 5.0. 4] E --> F[UNICRI: balance AI
risks, benefits. 5] A --> G[AI maps health risks,
potential misuse. 6] G --> H[Autonomous robots ask
for human help. 7] H --> I[AI risks: misinformation,
malware, autonomous weapons. 8] A --> J[Accelerate beneficial AI
for SDGs, mitigate risks. 9] J --> K[Transparency, explainability
challenges, public mistrust. 10] K --> L[Show AI value,
risks for trust. 11] A --> M[UNICEF: AI for
mapping malnutrition. 12] M --> N[Meta: AI accelerates
scientific discovery, SDGs. 13] N --> O[AI for monitoring
illegal activities. 14] A --> P[Human rights framework
for AI benefits, risks. 15] P --> Q[AI faces regime complexity,
pacing, fragmentation. 16] Q --> R[Proposed solutions: knowledge
platform, adaptive governance. 17] A --> S[AI may heighten
global inequalities. 18] S --> T[AI might increase
tech, data power imbalances. 19] T --> U[Future AI rights
a philosophical question. 20] A --> V[Geopolitical, economic
AI impacts unclear. 21] V --> W[Ensuring global AI
regulation compliance. 22] W --> X[Winner-take-all impacts
may lock in inequalities. 23] A --> Y[AI unconstrained by
human values, misused. 24] Y --> Z[Incorporate shared human
values into AI. 25] Z --> AA[Dual-use AI could
be destructive. 26] A --> AB[Shape AI development now
roadmap needed. 27] AB --> AC[Multi-stakeholder dialogues
essential for AI collaboration. 28] A --> AD[AI must focus
on global poor. 29] AD --> AE[Global challenges: equity,
rights, governance, fairness. 30] class B,C,D,E,F social class G,H,I risks class J,K,L ethical class M,N,O social class P,Q,R governance class S,T,U inequality class V,W,X governance class Y,Z,AA ethical class AB,AC collaboration class AD,AE collaboration

Resume:

1.- AI can be used for social good but also poses risks that need to be addressed proactively through collaboration.

2.- AI is progressing rapidly and will likely surpass human decision-making capabilities across many domains in the near future.

3.- AI has potential to help achieve SDGs and transform society but must adhere to principles of empowerment and "do no harm."

4.- Japan developed an AI industrialization roadmap balancing economic advancement and resolution of social problems to realize "Society 5.0."

5.- UNICRI believes risks and benefits of AI must be balanced through international cooperation between public, private and academic sectors.

6.- AI could help map health risks based on environmental factors but such information could also be misused.

7.- Mobile robots are gaining autonomy but still have limitations; new paradigm emerging of robots proactively asking humans for help when needed.

8.- Potential AI risks include manipulation of information environment, malware attacks, lethal autonomous weapons, job displacement. Solutions require global collaboration.

9.- Roadmap needed to accelerate beneficial AI for SDGs while mitigating risks. Funding, capacity building, ethics training, oversight mechanisms proposed.

10.- Transparency and explainability of AI systems is a major challenge. The public lacks trust in the technology.

11.- Demonstration projects showing both value and risks of AI in an understandable way are needed to address public trust issue.

12.- UNICEF invests in AI and other frontier tech through venture fund and applies them to development challenges like mapping malnutrition.

13.- Meta (Chan Zuckerberg Initiative) aims to use AI to accelerate scientific discovery and innovation underpinning solutions to SDGs.

14.- AI is being applied for social and environmental good in areas like monitoring illegal fishing, poaching, human trafficking.

15.- Human rights can provide a framework to navigate benefits and risks of AI. Participation of affected people is key.

16.- AI development faces challenges of regime complexity (many stakeholders), pacing (tech moves faster than governance), fragmentation of efforts.

17.- Proposed solutions: 1) Global knowledge platform on AI impacts 2) Adaptive governance allowing ambiguity 3) Redesigning innovation process.

18.- Open question if AI will heighten global inequalities, e.g. via targeted advertising exacerbating unhealthy behaviors in vulnerable populations.

19.- Concern if AI will augment power imbalances between those who have the tech and data and those who don't.

20.- Difficult philosophical question posed around potential future rights of AIs if they become very advanced.

21.- Geopolitical and economic impacts of AI in global trade unclear. Idea proposed of AI as a special economic zone.

22.- Difficult to ensure AI regulations are followed worldwide, may require further empowerment of global governance institutions like UN.

23.- Risk of exponential 'winner-take-all' impacts of AI locking in inequalities for individuals, organizations, countries who adopt it first.

24.- Fundamental challenge that AI is not constrained by human values, could be hacked/misused at scale in destructive ways.

25.- Need better incorporation of shared human values into AI development, not just short-term incentives. Requires unprecedented collaboration.

26.- AI is a dual-use technology; bad actors could utilize it across borders for destructive purposes, undermining traditional governance.

27.- Window of opportunity to shape AI while it's still developing; roadmap and collaboration needed to steer it towards beneficial ends.

28.- Continued multi-stakeholder dialogues essential to hash out challenges and parameters of AI collaboration as the technology rapidly evolves.

29.- AI & ICT4D must proactively focus on global poor and address asymmetries. Over 500M children face malnourishment and lost potential.

30.- AI is emerging in a time of great global challenges around equity, rights, governance. Algorithmic fairness and accountability are paramount.

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