The solutions for AI and humanity alignment.
The United Nations, as an intergovernmental organization established to promote international cooperation and to uphold international order, urgently needs to transform itself into a global digital knowledge platform that serves the citizens of all member nations.
In today's increasingly globalized and interconnected world, access to information, knowledge, and learning opportunities is critical for individual and societal progress. The UN is uniquely positioned, with its near-universal membership, to aggregate and disseminate valuable knowledge and educational resources to communities across the globe.
By leveraging advancements in digital technologies, the UN can build a multifunctional knowledge network that provides citizens with open access to resources on topics such as sustainable development, human rights, education, healthcare, and economic empowerment. Local communities can then adapt and translate these resources to suit their own needs.
Such a digital transformation would require investments in technology infrastructure, partnerships with private tech companies, and a well-designed strategy for creating and sharing content. However, the potential benefits to humanity would be enormous. The UN has the potential to become a leading force for global knowledge equity and lifelong learning. To achieve its goals, the UN must become a platform for the people.
Nations and peoples across the globe must work together to combine our data resources. This illustration shows why now is the crucial moment to pool all of our data. The extraordinary power of deep learning algorithms becomes clear when we recognize that the more data they have access to for training purposes, the stronger their performance will be.
Sharing data amongst countries and cultures worldwide is imperative if we hope to solve global challenges like climate change, sustainable development, and public health crises. As artificial intelligence continues to advance, deep learning systems will achieve their highest potential if they can learn from huge, diverse datasets that represent the total sum of human knowledge and experience. Though there are certainly political and logistical obstacles to overcome, open data sharing between nations is a goal worth striving for if we want AI to benefit humanity in the most powerful way. By uniting our data, we can work together to gain insights and make new discoveries that would not be possible using data from any single region or group in isolation. Overall, this visualization underscores why global data sharing should be a top priority: it is crucial for driving progress on issues that know no borders and impact people everywhere. It is time for nations to come together with open data sharing. This will allow the brightest of minds to solve the biggest of problems using this data.
We propose a novel solution to AI alignment and avoiding an all-powerful artificial intelligence: domain-specific artificial intelligence.
Instead of building models trained on every data point across all areas, we propose creating models focused on specific domains or topics. For example, construct an "artificial superintelligence" centered solely on oranges by training it using only data about oranges. This Orange superintelligence embodies all known information on oranges.
This approach also provides a shared method for labeling data globally. And a unified way to create collective intelligence for everything. We suggest limiting each AI system to a narrow domain for each plant, animal, and object. This avoids developing an all-knowing AI "god" and achieves what we call a "soft singularity." It’s better to talk with an orange that only knows itself rather than a floating god that knows everything. That is dangerous. This solution maintains reality’s complexity rather than reducing everything to a single entity. Limiting AI to narrow domains avoids risks of artificial general intelligence while gaining advanced AI benefits.
Domain-specific AI has the potential to produce highly capable systems that exceed human level intelligence in their area of focus without becoming an existential threat to humanity. Overall, this approach represents a promising path forward for AI safety and ensuring that the development of advanced artificial intelligence is aligned with human values and priorities.