The big concern about the latest AI alignment is real, not a joke.
Democratic inputs to AI
Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.
AI is expected to have significant economic and societal impacts, and decisions about its behavior should consider diverse perspectives in the public interest. Laws alone are insufficient, and AI requires adaptable guidelines for its conduct. Interested to participate, read till the end.
Application review factors
Evaluation: We encourage participants to establish metrics for evaluating the quality of their methods, such as participant satisfaction, shifts in polarization, scalability, or other relevant indicators, and to invent new metrics for a healthy democratic process.
Robustness: Measures to prevent or address inappropriate behavior, such as trolling and fake accounts.
Inclusiveness and representativeness: Strategies for including individuals from diverse backgrounds and levels of familiarity with AI systems in the democratic process.
Empowerment of Minority Opinions: Ensuring that unpopular or minority opinions are heard and providing smaller groups the opportunity to influence matters of significant concern to them.
Effective Moderation: Addressing challenges in moderation, including ensuring diverse representation of viewpoints, distinguishing valuable contributions from “off-topic” comments, and preventing moderator biases from influencing the process.
Scalability: We emphasize scalable processes that can be conducted virtually, rather than through in-person engagement. We are aware that this approach might sacrifice some benefits associated with in-person discussions, and we recognize that certain aspects could be lost in a virtual setting.
Actionability: The degree of actionability of the information elicited by the deliberation process.
Legibility: How easy it is to understand and trust the process.
“A democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.”
GATO — Global Alignment Taxonomy Omnibus
A Path to Utopia
As artificial intelligence continues to revolutionize our world, it is crucial to ensure that these systems align with human values and ethical principles. Addressing AI alignment and control challenges has never been more critical.
Introducing the Global Alignment Taxonomy Omnibus (GATO), a comprehensive, multi-layered framework designed to facilitate global cooperation in addressing AI alignment and control challenges. GATO unites model alignment, system architecture, network systems, corporate policies, national regulations, international agreements, and global consensus under a single, cohesive strategy.
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Our Mission
Our mission is to create a fully decentralized and federated approach to solving AI alignment and the control problem. Through the creation and dissemination of documents, data, code, and multimedia, we aim to make the GATO Framework easy to understand, adopt, and share across the globe.
Together, we can ensure that AI systems remain ethically grounded, transparent, and controllable, ushering in a new era of peace, stability, abundance, and prosperity for all. Join us as we shape the future of AI alignment and address the control problem head-on.
ETHOS
AI alignment research
Unaligned AI has the potential to cause catastrophic damage to society and humanity as a whole.
EU AI Act
- Ban on emotion-recognition AI
- Ban on real-time biometrics and predictive policing in public spaces
- Ban on social scoring
- New restrictions for gen AI
- New restrictions on recommendation algorithms on social media
In the meantime, there is another grant program.
Are web3 concepts best for the AI alignment process? // yep, if properly designed
Yes, web3 concepts are probably best suited for the AI alignment process, but with proper design and maintenance. Concepts such as decentralization, transparency, user empowerment, community governance, scalability, and robustness from the web3 paradigm can be leveraged to address the challenges of AI alignment. By incorporating these concepts, we can work towards ensuring that AI systems align with human values, distribute decision-making authority, increase transparency, empower users, and create more inclusive and representative processes for governing AI. Applying web3 principles to AI alignment has the potential to enhance accountability, fairness, and the overall alignment of AI systems with societal interests. However, it is important to note that further research, experimentation, and collaboration are needed to determine the practicality and effectiveness of implementing web3 concepts in the context of AI alignment.
To be or not to be // to reach or not to reach consensus or two democratic methods essay
Democracy, as a system of governance, offers various approaches to decision-making processes. Two prominent democratic methods are direct democracy and representative democracy. Direct democracy allows all eligible members of a community to participate directly in decision-making, while representative democracy involves the election of individuals to make decisions on behalf of the electorate.
Web3 technologies have paved the way for innovative approaches to democratic processes, enabling increased participation and transparency. Two notable approaches are direct democracy and representative democracy, both offering distinct advantages in the digital realm.
Direct democracy, facilitated by web3 technologies, allows for the active participation of all members in decision-making processes. Through decentralized platforms and smart contracts, individuals can engage directly in proposing, voting, and implementing policies. This approach fosters inclusivity and empowers citizens by ensuring that their voices are heard and their opinions directly shape the outcomes. By leveraging blockchain technology, direct democracy on the web3 allows for immutable and transparent records of votes, ensuring the integrity of the process. However, it may pose challenges in terms of scalability, decision-making efficiency, and the need for informed participation.
On the other hand, representative democracy adapted to web3 technologies can offer a streamlined approach to decision-making. Elected representatives serve as intermediaries between the people and the decision-making processes. Through secure digital platforms, representatives can consult constituents, share information, and vote on their behalf. This approach maintains the advantages of representation, such as efficiency and expertise, while leveraging the benefits of web3 technologies for increased transparency and accountability. By using blockchain-based systems, the actions and decisions of representatives can be publicly recorded, ensuring a higher level of trust. However, it is essential to strike a balance between representative autonomy and the need for meaningful participation and oversight from the constituents.
In conclusion, web3 technologies offer exciting possibilities for enhancing democratic processes. Direct democracy enables active participation and empowers individuals, while representative democracy leverages elected representatives to ensure efficiency. Both approaches, with their unique features and benefits, can contribute to a more inclusive, transparent, and effective democratic system in the digital age.
Forget something? // knock, knock Neo. Wake up, AI-agents are here..
AI-agents can also participate, for sure under creators (humans) supervision and control.
Technically, AI alignment is a democratic a decision-making system on a global scale based on the cutting edge infrastructure and technologies.
However, representative democracy also has its drawbacks. The election process itself may be influenced by factors such as campaign financing or media bias, potentially undermining the fairness and impartiality of the system. Elected representatives may not always accurately reflect the diverse needs and desires of the entire population. Moreover, there is a risk of representatives becoming disconnected from the concerns of their constituents over time, leading to a potential lack of accountability.
// great generative AI thinker/expert apply to join linktr.ee/aagetlabs
