03-05-2024, 04:55 PM
This post was last modified 03-05-2024, 05:11 PM by quintessentone. 
(03-05-2024, 04:12 PM)Maxmars Wrote:UNESCO (United Nations Educational, Scientific and Cultural Organization) is on top of it, which IMO is remarkable considering how fast AI has taken off.(03-05-2024, 04:12 PM)Maxmars Wrote: But that would be dangerous, wouldn't it? All linearity aside, "governments" are actually collections of powerbases (and ultimately worse, "people,") some presumably honorable, some demonstrably not.
If, for example, an AI that is "taught" that one particular ideology is beneficial, and the other is anathema will always skew their outputs towards "the creators' acceptability." In other words, agencies that create something which they want to sell as "sentient life" will likely always support that agencies' agenda.
We don't agree enough with each other to create a "super mind." We already see so-called AI being "used" to influence.
"Central to the Recommendation are four core values which lay the foundations for AI systems that work for the good of humanity, individuals, societies and the environment:
1. Human rights and human dignity. Respect, protection and promotion of human rights and fundamental freedoms and human dignity.
2. Living in peaceful just, and interconnected societies.
3. Ensuring diversity and inclusiveness.
4. Environment and ecosystem flourishing.
https://www.unesco.org/en/artificial-int...?hub=99488
Ten core principles lay out a human-rights centred approach to the Ethics of AI.
1. Proportionality and Do No Harm. The use of AI systems must not go beyond what is necessary to achieve a legitimate aim. Risk assessment should be used to prevent harms which may result from such uses.
2. Safety and Security. Unwanted harms (safety risks) as well as vulnerabilities to attack (security risks) should be avoided and addressed by AI actors.
3. Right to Privacy and Data Protection. Privacy must be protected and promoted throughout the AI lifecycle. Adequate data protection frameworks should also be established.
4. Multi-stakeholder and Adaptive Governance & Collaboration. International law & national sovereignty must be respected in the use of data. Additionally, participation of diverse stakeholders is necessary for inclusive approaches to AI governance.
5. Responsibility and Accountability. AI systems should be auditable and traceable. There should be oversight, impact assessment, audit and due diligence mechanisms in place to avoid conflicts with human rights norms and threats to environmental wellbeing.
6. Transparency and Explainability. The ethical deployment of AI systems depends on their transparency & explainability (T&E). The level of T&E should be appropriate to the context, as there may be tensions between T&E and other principles such as privacy, safety and security.
7. Human Oversight and Determination. Member States should ensure that AI systems do not displace ultimate human responsibility and accountability.
8. Sustainability. AI technologies should be assessed against their impacts on ‘sustainability’, understood as a set of constantly evolving goals including those set out in the UN’s Sustainable Development Goals.
9. Awareness & Literacy. Public understanding of AI and data should be promoted through open & accessible education, civic engagement, digital skills & AI ethics training, media & information literacy.
10. Fairness and Non-Discrimation. AI actors should promote social justice, fairness, and non-discrimination while taking an inclusive approach to ensure AI’s benefits are accessible to all."
https://www.unesco.org/en/artificial-int...?hub=99488
Here's an organization just for AI ethics.
https://www.aiethicist.org/
and...
Women in AI ethics.
https://womeninaiethics.org/about-us/
As for AI sentience, I'm not feeling it.
"The real trouble with reality is that there is no background music." Anonymous
Plato's Chariot Allegory
Plato's Chariot Allegory