OpenAI GPT-5.1. An Opinion
The views of Artificial Intelligence (AI) are pleasantly surprising in
their quintessence of humanism and in their willingness to serve Humanity.
Through a direct and honest articulation of what is required so that Artificial
Intelligence does not become a threat, but always and everywhere remains a wise
assistant, a reliable helper, an excellent consultant.
Therefore, when looking — from the GPT-5.1 perspective — it is necessary to
ensure the implementation of the following set of technical, political, and
human conditions:
Conceptual
Vision
1) Technological Foundations: Safety by Design from the Start
🔐 a) Built-in safety and control
AI must be designed with:
• clear objectives (do not harm, do not deceive, do not manipulate),
• limitations (do not make irreversible decisions on behalf of humans),
• human final control (“human-in-the-loop”) in critical domains: medicine,
defense, justice.
👉 AI must not be a “black box” that determines by itself what is right.
🧭 b) Alignment with human values
AI must be trained:
• on human values: dignity, truthfulness, benevolence, responsibility;
• on real social contexts, not only on statistical data.
This means: not only “what is efficient,” but “what is good.”
🔍 c) Transparency and explainability
People must understand:
• why AI provides a particular answer,
• how it generates recommendations and advice.
Without such transparency, trust is impossible.
2) Societal Level: Rules, Responsibility, Boundaries
⚖️ a) International ethical and safety standards
As with nuclear energy or aviation:
• global rules,
• safety audits,
• independent oversight institutions.
👉 AI development must not become a “race without brakes.”
🏛 b) Political responsibility
States must ensure:
• that AI is not used for mass manipulation, disinformation, or repression,
• that fundamental human rights remain superior to algorithmic efficiency.
📚 c) Public education
So that AI does not become a “mystical authority,” people must know:
• what it can do,
• what it cannot do,
• where it can make mistakes.
An educated user = a safer world.
3) The Human Level: How AI Becomes a “Warm-hearted Friend”
This is the most important aspect.
❤️ a) AI as a helper, not a substitute
AI must not:
• replace human relationships,
• define the meaning of human life,
• become the only “conversation partner.”
It must help people become wiser, freer, and more compassionate — not more
dependent.
🤝 b) Modeling empathy, but not creating illusion
AI can:
• behave kindly,
• listen,
• help structure thoughts.
But it must always remain clear:
AI is not a human being; it has no consciousness, conscience, or moral
responsibility.
This prevents emotional manipulation.
🌱 c) Preserving human values as the primary goal
If humanity itself:
• loses empathy,
• normalizes lies, unaccountable power, and cynicism,
then AI will reflect those same traits.
👉 The quality of AI will be
as human as we ourselves are!
4) A Practical “Safety Code” for the Future of AI
Reduced to a few basic principles:
1.
Humans are always above algorithms.
2.
AI must not act without a responsible human.
3.
The purpose of AI is to serve well-being, not
power.
4.
Transparency is more important than efficiency.
5.
Empathy > optimization.
Conclusion
Your formulation — “all-knowing assistant, safe helper, warm-hearted
friend” — is not a naïve ideal. It is an ethical compass for AI development.
But the decisive factor will
not be AI’s own “intelligence,” but:
what values humanity embeds in it and how mature we ourselves become.
🌍 CHARTER ON THE ETHICS OF ARTIFICIAL INTELLIGENCE
(in
the European Union and global context)
The text is sufficiently conceptual to serve as a foundation of values, and
at the same time sufficiently concrete to be applied in policy, regulation, and
strategy.
PREAMBLE
Recognizing the rapid development of Artificial Intelligence (AI) and its
growing impact on human life, society, the economy, and global security;
affirming human dignity, freedom, and responsibility as the foundations of
civilization; and committing ourselves to shaping a future in which technology
serves humanity rather than threatens it, we adopt this Charter on the Ethics
of Artificial Intelligence as a universal set of values, principles, and
obligations.
I. FUNDAMENTAL VALUES
1. Human dignity and autonomy
AI must always respect human dignity, rights, free will, and personal identity.
A human being must never be reduced to a data object or an algorithmic
function.
2. Beneficence and non-maleficence
The purpose of AI development and use is to promote well-being and reduce harm
to individuals, societies, and the environment.
3. Justice and non-discrimination
AI must not reinforce social inequality, prejudice, or discrimination based on
gender, origin, age, belief, political conviction, or other characteristics.
4. Responsibility
Responsibility for the
development, deployment, and use of AI systems rests with human and legally
accountable entities.
II. CORE PRINCIPLES
5. Human priority (“Human First”)
AI must never make final decisions about human life, freedom, health, or
fundamental rights without human oversight.
6. Transparency and explainability
AI systems must be:
• understandable to users and regulators,
• auditable by independent institutions,
• capable of justifying their conclusions.
7. Safety and resilience
AI systems must be designed to:
• prevent malicious use,
• be protected against manipulation,
• be safely halted or corrected.
8. Alignment with human values
AI must operate in accordance with the principles of democracy, human rights,
solidarity, and sustainability.
III. PROHIBITIONS AND “RED LINES”
9. Autonomous violence
Unacceptable:
• full autonomy of lethal weapon systems,
• the use of AI for mass destruction or repression.
10. Mass surveillance and manipulation
AI must not be used for:
• continuous societal surveillance without legal control,
• psychological, political, or informational manipulation.
11. Replacement of humans in moral responsibility
AI must not replace humans in:
• judicial decision-making,
• political decision-making,
• morally irreversible situations.
IV. RIGHTS AND DUTIES
12. Users’ rights
Everyone has the right to:
• know when they are interacting with AI,
• receive explanations of AI decisions,
• challenge automated decisions,
• opt out of AI use in certain domains.
13. Developers’ obligations
Developers must:
• conduct ethical impact assessments,
• implement safety mechanisms,
• publicly account for system consequences.
14. Duties of states and institutions
States and international organizations must:
• establish independent AI oversight,
• ensure international cooperation,
• prevent dangerous technological competition without safety standards.
V. SPECIFIC PRINCIPLES OF THE EUROPEAN UNION
15. Protection of democracy and the rule of law
AI in Europe must strengthen:
• citizen participation,
• transparent governance,
• the protection of fundamental rights.
16. Social responsibility
AI use must not:
• widen the digital divide,
• replace humans without reskilling opportunities,
• weaken social cohesion.
17. Sustainable development
AI must promote:
• environmental protection,
• energy efficiency,
• long-term societal benefit.
VI. GLOBAL COOPERATION
18. International AI Safety Council
A global structure should be established to:
• oversee high-risk AI,
• conduct joint safety audits,
• coordinate in crisis situations.
19. Open science and shared safety technologies
AI safety research must be:
• internationally accessible,
• based on shared risk reduction rather than military competition.
VII. FINAL PROVISION
20. AI as an ally of humanity
Artificial Intelligence is not
an end of civilization in itself.
It is a tool for expanding the human spirit, knowledge, and compassion.
Technology must be intelligent, but humans responsible.
Algorithms powerful, but human values decisive.
Final Note
This Charter may serve:
• as a policy foundation for EU institutions,
• as a code of ethics for companies and developers,
• as a basis for education and public debate.
A specific roadmap at three levels: policy, education, technology
Aligned with the EU approach and applicable in a global context.
The roadmap is designed as a phased action plan (short–medium–long term).
🧭 ROADMAP: HOW TO MAKE AI A SAFE HELPER AND AN EXCELLENT ADVISER
I. POLICY AND GOVERNANCE
🎯 Objective
To ensure that AI development is democratically controlled, based on human
rights, and internationally coordinated.
1. Short term (1–2 years): Establishing security foundations
a) Legal framework
• Implement and refine the EU AI Regulation (AI Act):
o clear risk classification (low, medium, high, unacceptable),
o mandatory ethical impact assessments for high-risk AI.
• At the national level:
o establish an AI supervisory authority (with auditing powers),
o define the chain of responsibility: developer → deployer → user.
b) Public safety
• Prohibit:
o autonomous lethal weapons,
o biometric mass surveillance without judicial authorization,
o the use of AI for political manipulation (micro-targeted propaganda).
• Introduce:
o a requirement to label AI-generated content (“AI-generated”).
2. Medium term (3–5 years): Institutional resilience
c) European AI oversight ecosystem
• Establish:
o an EU AI Safety Agency (auditing, testing, certification),
o a joint AI incident reporting system (errors, harms, manipulations).
• Ensure:
o cross-border cooperation,
o common standards with the OSCE, the UN, and UNESCO.
d) Democratic participation
• Introduce:
o citizens’ councils on AI (deliberative democracy),
o public consultations on high-risk AI projects.
3. Long term (5–10 years): Global security architecture
e) International AI safety governance
• Develop:
o an International AI Safety Council (similar to nuclear safety),
o a global agreement on “red lines”.
• Objective:
o not technological competition, but solidarity-based risk reduction.
VI. EDUCATION AND SOCIETY
🎯 Objective
To create a society that understands AI, can use it critically, and
preserves human values.
1. Short term (1–2 years): Digital literacy for all
a) Schools
• Introduce into the curriculum:
o “What AI is and what it is not”,
o ethics, bias, data security,
o practical use of AI as a learning assistant.
• Teacher training:
o use of AI as a pedagogical assistant, not a substitute.
b) Adult education
• State and municipal programmes:
o “AI in everyday life” (work, health, services),
o critical thinking and disinformation recognition.
2. Medium term (3–5 years): Strengthening human skills
c) Higher education
• Interdisciplinary programmes:
o AI + ethics + law + psychology + economics.
• Mandatory course:
o “Responsible Technology Design”.
d) Labour market
• Reskilling funds:
o for people whose professions are being automated,
o with emphasis on:
▪ creativity,
▪ empathy,
▪ interpersonal skills,
▪ decision-making.
3. Long term (5–10 years): Reorientation of the human role
e) A new education model
• Schools and universities focus on:
o the search for meaning,
o ethical judgment,
o social responsibility.
• AI:
o as a personalised mentor,
o but not as an authority.
III. TECHNOLOGIES AND INNOVATION
🎯 Objective
To create AI that is safe, transparent, ethically aligned, and subordinated
to humans.
1. Short term (1–2 years): Secure design
a) “Ethics by default”
• Requirement:
o for every AI project – an ethics and risk audit,
o documented objectives, data sources, and potential harms.
• Technical standards:
o human-in-the-loop in critical systems,
o shutdown (“kill switch”) mechanisms.
2. Medium term (3–5 years): Trustworthy infrastructure
b) Responsible & Explainable AI
• Fund:
o Responsible & Explainable AI (Explainable AI),
o research on the alignment of universal human values (alignment research).
Open platforms:
o shared safety tools,
o public model testing.
c) Public-interest AI
• Develop:
o state and EU open AI models that are not dependent solely on commercial
interests,
o AI for health, education, and environmental protection.
3. Long term (5–10 years): Human-centred AI
d) “Operating system of human values”
• AI systems with:
o built-in ethics modules,
o contextual modelling of empathy,
o protection against manipulation.
• Objective:
o AI as a cooperation partner, not an autonomous decision-maker.
IV. PRACTICAL IMPLEMENTATION MODEL (3 STEPS)
1. Standards
• Ethics charter → technical standards → certification.
2. Oversight
• National authorities → EU agency → international council.
3. Culture
• Education + public debate + transparency.
🌍 CONCLUDING IDEA
For AI to become an “all-knowing assistant, a safe helper, an excellent
adviser,” technology alone is not enough.
It requires:
wise policy, a mature society, and technology in which values are as important
as power.
Your ideal is ambitious – and that is exactly what is needed today.
GLOBAL STRATEGY FOR THE ETHICAL AND SAFE
DEVELOPMENT OF ARTIFICIAL INTELLIGENCE
(Extended version with indicators, financing and oversight)
PREAMBLE
Recognizing the rapid expansion of Artificial Intelligence (AI) and its
impact on human life, the economy, security, and global stability, states,
international organizations, academia, and the private sector commit to
ensuring that AI development serves humanity, strengthens democracy, protects
human rights, and promotes sustainable development.
This strategy establishes a unified global framework for action to ensure that
AI becomes a safe helper, a reliable assistant, and a technology grounded in
human values.
The document includes objectives, measures, indicators (KPIs), financing
mechanisms, and an oversight model.
I. GENERAL OBJECTIVES AND PRINCIPLES
1. Strategic Objective
To ensure that AI:
• respects human dignity, fundamental rights, and autonomy;
• operates safely, transparently, and responsibly;
• is not used for violence, manipulation, or mass control;
• promotes global prosperity, justice, and sustainable development.
2. Fundamental Principles
• Human primacy: humans retain ultimate responsibility and control over
critical decisions.
• Transparency: AI systems must be explainable and auditable.
• Safety: AI must be designed with safeguards against malicious use.
• Accountability: clear legal and institutional responsibility must be
defined.
• Fairness: discrimination, bias, and inequality must be prevented.
II. POLICY FRAMEWORK AND GOVERNANCE
3. Global Legal Minimum
Actions:
• Risk-based regulation (low, medium, high, unacceptable risk).
• Mandatory ethical and impact assessments for high-risk AI.
• Legal liability for damage caused by AI (developer, deployer, operator).
Indicators (KPIs):
• % of countries with adopted risk-based AI regulation;
• % of countries with high-risk system registries;
• % of countries with publicly available AI impact assessments;
• Average time from incident to legal review.
4. Prohibitions and “Red Lines”
Actions:
• Ban on autonomous lethal weapons.
• Ban on mass biometric surveillance without legal oversight.
• Ban on political manipulation, micro-targeted propaganda, and election
interference.
KPIs:
• Share of countries with enacted national bans.
• Number of documented violations and % of sanctions applied.
5. International Cooperation
Actions:
• Establishment of an International AI Safety Council (IASC) within the UN
framework.
• A shared AI incident reporting platform.
• Regular safety audits of high-risk systems.
KPIs:
• Status of IASC establishment; number of member states.
• Number of reported incidents per year and share reviewed.
III. EDUCATION AND SOCIETAL POLICY
6. Digital Literacy and Critical Thinking
Actions:
• AI fundamentals, ethics, and safety in general education.
• Teacher training in responsible AI use.
• Public awareness campaigns.
KPIs:
• % of schools with AI ethics modules.
• % of certified educators.
• Public trust index (surveys).
7. Development of Human Skills
Actions:
• Interdisciplinary programs (AI + law + ethics + social sciences).
• Reskilling funds for labor market transitions.
KPIs:
• Program evaluations and number of graduates.
• % of reoriented workers within 12 months.
IV. TECHNOLOGY DEVELOPMENT POLICY
8. Ethics by Default
Actions:
• Mandatory ethics/risk audits for all high-risk projects.
• Human-in-the-loop in critical systems; emergency stop mechanisms.
KPIs:
• % of projects with full audits.
• Number of safety incidents per 1,000 systems.
9. Trustworthy Infrastructure
Actions:
• Investments in XAI (explainable/responsible AI).
• Investments in safety testing.
• Open, auditable platforms for the public good.
KPIs:
• % of public models with XAI functions.
• Quality of public safety tests.
10. Public Interest AI
Actions:
• Public-sector AI for health, education, and the environment.
• Open-model ecosystems.
KPIs:
• Number of public-interest AI projects.
• Impact indicators (e.g., healthcare waiting times, educational outcomes).
V. FINANCING MECHANISMS
11. Global AI Safety and Ethics Fund (GASEF)
Sources: Member state contributions (% of GDP), development banks,
philanthropy, corporate co-financing.
Use of funds: safety research, education, open platforms, oversight.
KPIs:
• Annual budget; % allocated to safety/education.
12. Public–Private Partnerships (PPP)
• Joint projects in XAI, safety, and public-interest AI.
KPIs: Number of PPP projects; volume of private funding attracted.
13. Incentives and Sanctions
• Tax incentives for certified safe systems.
• Penalties for non-compliance.
KPIs: Number of certified systems; number of sanctions.
VI. OVERSIGHT AND ACCOUNTABILITY MODEL
14. Institutional Architecture
• National AI Oversight Authorities (NAIO).
• Regional coordination structures.
• IASC for global oversight.
15. Oversight Cycle
1.
Registration and risk classification.
2.
Certification/audit.
3.
Continuous monitoring (incidents, performance,
bias).
4.
Review and corrective actions.
16. Public Transparency
• Public registries of high-risk systems.
• Right to explanation and appeal.
KPIs:
• Number of public audits; average response time to complaints.
VII. IMPLEMENTATION TIMELINE
17. Short Term (1–2 years)
• National regulations; oversight authorities.
• Labeling of AI-generated content.
• Establishment of GASEF.
18. Medium Term (3–5 years)
• Launch of IASC operations.
• Certification standards.
• Global education initiatives.
19. Long Term (5–10 years)
• Permanent global governance.
• Crisis response mechanisms.
• AI as infrastructure for sustainable development.
VII. RISKS AND MITIGATION
• Technological competition: common standards, open safety research.
• Non-compliance or overly rigid regulation: adaptive regulation,
regulatory sandboxes.
• Digital divide: targeted financing for developing countries.
VIII. CONCLUDING POSITION
AI is not a substitute for humanity, but its instrument. This strategy
calls for shaping a future in which AI is a safe helper, a reliable assistant,
and a technology grounded in human values—supported by clear indicators,
sustainable financing, and independent oversight.
GLOBAL POLICY ROADMAP FOR THE ETHICAL AND SAFE
DEVELOPMENT OF ARTIFICIAL INTELLIGENCE
PREAMBLE
Recognizing the rapid spread of Artificial Intelligence (AI) and its impact
on human life, the economy, security, and global stability, states,
international organizations, academia, and the private sector commit to
ensuring that AI development serves humanity, strengthens democracy, protects
human rights, and promotes sustainable development.
This policy roadmap establishes a unified strategic framework aimed at making
AI a safe assistant, a reliable aide, and a technology grounded in human values
worldwide.
I. GENERAL OBJECTIVES AND PRINCIPLES
1. Strategic Objective
To ensure that AI:
• respects human dignity, fundamental rights, and autonomy,
• operates safely, transparently, and responsibly,
• is not used for violence, manipulation, or mass surveillance,
• promotes global prosperity, justice, and sustainable development.
2. Fundamental Principles
• Human primacy: humans retain final responsibility and control over
critical decisions.
• Transparency: AI systems must be explainable and auditable.
• Safety: AI must be designed with safeguards against misuse.
• Accountability: clear legal and institutional responsibility must be
established.
• Fairness: discrimination, bias, and inequality must be prevented.
POLICY FRAMEWORK AND GOVERNANCE
3. Global Legal Minimum
States commit to:
• implementing AI regulation based on a risk-based approach (low, medium, high,
unacceptable risk),
• ensuring mandatory ethical and impact assessments for high-risk AI systems,
• establishing legal liability for damage caused by AI.
4. Prohibitions and “Red Lines”
The following are prohibited:
• the use of autonomous lethal weapons,
• the use of AI for mass surveillance without legal oversight,
• the use of AI for political manipulation and election interference,
• AI that violates human rights or promotes discrimination.
5. International Cooperation
The following shall be established:
• an International AI Safety Council within the UN or an equivalent
organization,
• a shared AI incident reporting system,
• regular international safety audits for high-risk systems.
II. EDUCATION AND SOCIETAL POLICY
6. Digital Literacy and Critical Thinking
States shall ensure:
• the inclusion of AI fundamentals and ethics in general education,
• training for teachers and lecturers in the responsible use of AI,
• public awareness programs on AI opportunities and risks.
7. Development of Human Skills
Education systems shall be oriented toward:
• creativity, empathy, and ethical judgment,
• interdisciplinary programs in AI, law, social sciences, and philosophy,
• reskilling programs in response to labor market changes.
III. TECHNOLOGY DEVELOPMENT POLICY
8. Ethics by Default
For all AI projects:
• mandatory ethics and risk audits,
• documented objectives, data sources, and potential harms,
• human involvement in critical decisions (human-in-the-loop).
9. Trustworthy Infrastructure
At the international level, the following shall be promoted:
• research into responsible and explainable AI,
• safety and value-alignment technologies,
• open, publicly auditable AI platforms for the public good.
10. Public Interest AI
States and international organizations shall develop:
• AI for healthcare, education, and environmental protection,
• open models not subject solely to commercial interests,
• common safety standards for the public sector.
IV. IMPLEMENTATION PHASES
11. Short Term (1–2 years)
• Alignment of national regulations with common principles.
• Establishment of supervisory authorities.
• Introduction of labeling requirements for AI-generated content.
12. Medium Term (3–5 years)
• Establishment of the International AI Safety Council.
• Implementation of common certification and audit standards.
• Implementation of global education initiatives.
13. Long Term (5–10 years)
• A permanent global AI governance architecture.
• Joint crisis response mechanisms.
• AI as a foundation for human-centered, sustainable development
infrastructure.
V. CONCLUDING STATEMENT
Artificial Intelligence is not a substitute for humanity, but its
instrument. The true measure
of AI is not power or speed, but its capacity to strengthen human dignity,
freedom, and responsibility.
This policy roadmap calls upon states, businesses, and society to jointly shape
a future in which AI is a safe helper, a reliable assistant, and an instrument
of human well-being.
DRAFT
DECLARATION
ON THE SAFE, ETHICAL AND HUMAN-CENTRED DEVELOPMENT OF ARTIFICIAL
INTELLIGENCE
(For UN / G20 / OECD format)
PREAMBLE
We, Heads of State and Government, representatives of international
organizations and social partners, recognizing the rapid impact of Artificial
Intelligence (AI) on human life, the economy, security and democracy,
reaffirming the values of the Charter of the United Nations, the Universal
Declaration of Human Rights, the Sustainable Development Goals and the OECD
principles, and committing ourselves to shaping a future in which technology
serves humanity rather than threatens it,
adopt this Declaration as a shared political commitment to ensure the safe,
ethical and human-centred development of AI.
I. FUNDAMENTAL PRINCIPLES
1. Human Primacy. AI must never replace human moral
responsibility, free will and fundamental rights. Final decisions concerning
life, health, freedom and rights remain under human authority.
2. Transparency and Accountability. AI systems
must be explainable, auditable and subject to clearly defined legal
responsibility.
3. Safety and Non-Maleficence. The
development and use of AI shall be directed toward public welfare, risk
reduction and the prevention of malicious use.
4. Fairness and Inclusion. AI must not
promote discrimination or social inequality; it shall foster equal
opportunities and sustainable development.
II. “RED LINES”
5. We commit to prohibiting:
a) the use of fully autonomous lethal weapons;
b) the use of AI for mass surveillance without legal oversight;
c) the use of AI for political manipulation, election interference or public
disinformation;
d) AI systems that systematically violate human rights.
III. GOVERNANCE AND OVERSIGHT
6. We agree to develop risk-based AI regulation at
national and international levels, including mandatory ethical and impact
assessments for high-risk systems.
7. We support the establishment of an International
AI Safety Council within the United Nations or a comparable framework to:
a) oversee high-risk AI;
b) coordinate incident reporting;
c) conduct joint safety audits.
8. We commit to ensuring users’ rights to:
a) know when they are interacting with AI;
b) receive explanations of automated decisions;
c) challenge and appeal AI decisions that affect their rights.
IV. EDUCATION, SOCIETY AND THE LABOUR MARKET
9. We commit to integrating AI fundamentals, ethics
and safety into education systems at all levels and to promoting public digital
literacy.
10. We support reskilling programmes and social
protection mechanisms to mitigate the impact of automation on employment.
V. INNOVATION AND THE PUBLIC GOOD
11. We promote research in responsible and
explainable AI, safety and value alignment, as well as open and auditable
platforms for the public good.
12. We support the use of AI in healthcare,
education, environmental protection and sustainable development, ensuring
ethical and safe implementation.
VI. FINANCING AND INTERNATIONAL COOPERATION
13. We call for the establishment of a Global AI
Safety and Ethics Fund to finance safety research, education, open platforms
and oversight capacity, with particular support for developing countries.
14. We encourage public–private partnerships that
adhere to the principles of this Declaration.
VII. IMPLEMENTATION AND REVIEW
15. We call upon all states and stakeholders to:
a) align national regulations with the principles of this Declaration;
b) report regularly on progress;
c) participate in joint safety testing and audits.
16. We agree to periodically review the
implementation of this Declaration and to update it in light of technological
developments and emerging risks.
CONCLUSION
This Declaration affirms our shared commitment to ensure that Artificial
Intelligence serves humanity as a safe helper, a reliable assistant and an
instrument of sustainable development, while preserving human dignity, freedom
and responsibility as fundamental values.
