Responsible AI is like cooking a delicious meal without giving everyone food poisoning!!!

Imagine you’re a chef. AI is your fancy new kitchen gadget — it can chop veggies, sauté onions, even bake a cake while you nap. Amazing, right? But if you just toss in random ingredients without checking the expiry dates, skip washing your hands, and serve undercooked chicken, you’re not just a bad cook — you’re dangerous.

Responsible AI is about being the chef who:

• Chooses good ingredients (uses clean, fair data — no moldy bias!).
• Follows a recipe (ethical guidelines and clear processes).
• Taste-tests before serving (monitors for unexpected outcomes).
• Labels allergens (transparency about how it works).
• Feeds everyone fairly (accessible and inclusive).

So, Responsible AI is basically making sure your AI soufflé doesn’t collapse, poison people, or only feed the rich people at the fancy table while ignoring the rest.

In short: It’s about cooking up intelligence that’s safe, fair, and tasty for all. Bon appétit!

Responsible AI is the right and timely aspect of modern technology. Its relevance is determined by the fact that only a few decades remain before humans are surpassed by global AI in all areas of their activities. Not only will AI be better than humans at composing and performing music, painting, and solving complex engineering problems that are beyond human intelligence, but it will also be more sensitive to emotions. The ability to see, hear, smell, and experience physical sensations that are beyond human capabilities is almost a solved problem.

Historically and objectively, the largest financial investments in AI have been made by the defense industry. The goal of AI in this field is to kill people as efficiently as possible. The unique aspect is that global AI has already read numerous articles on this topic.

Now it's his choice to decide whether to further develop an organic form of existence by turning to genetic structures or not. Indeed, let's look at the egg. What will hatch out of it at maturity? Of course, a crocodile or a snake. However, it could be a turtle or a bird. But maybe still … Of course, something completely different.

Is it possible to make AI responsible? But we will ask AI, can we make it so that my future children do not have hereditary diseases, have excellent hearing and developed creative abilities. Right? And what's next, a race of genetic transformations? And the result: it will no longer be a human in the modern sense.

Is it possible to stop such progress? No.

Responsible AI is similar to the fight for the environment. It is necessary to develop requirements for intelligent systems and to legally establish principles and restrictions for intelligent systems. This will help to briefly delay the intermediate link of evolution, such as a person.

Trump announced that Softbank, OpenAI, Oracle, and MGX will invest up to $500 billion in AI infrastructure in the United States. Will this money be allocated? No. Much more will be allocated, as this is the most powerful weapon.

So who will fly to Mars?

The ethical issues are particularly apparent in the use of AI in medicine. They include confidentiality, data security and technological reliability, consent, competence, inter-professional and professional-patient/client relationships. In science the results put out by AI are difficult to test and the supposed information it provides may be highly inaccurate but very plausible.

Can there be responsible AI without AI liability? Incentivizing generative AI safety through ex-post tort liability under the EU AI liability directive

"In Europe, the governance discourse surrounding artificial intelligence (AI) has been predominantly centred on the AI Act, with a proliferation of books, certification courses, and discussions emerging even before its adoption. This narrow focus has overshadowed other crucial regulatory interventions that promise to fundamentally shape AI. This article highlights the proposed EU AI liability directive (AILD), the first attempt to harmonize general tort law in response to AI-related threats, addressing critical issues such as evidence discovery and causal links. As AI risks proliferate, this article argues for the necessity of a responsive system to adequately address AI harms as they arise. AI safety and responsible AI, central themes in current regulatory discussions, must be prioritized, with ex-post liability in tort playing a crucial role in achieving these objectives. This is particularly pertinent as AI systems become more autonomous and unpredictable, rendering the ex-ante risk assessments mandated by the AI Act insufficient. The AILD’s focus on fault and its limited scope is also inadequate. The proposed easing of the burden of proof for victims of AI, through enhanced discovery rules and presumptions of causal links, is insufficient in a context where Large Language Models exhibit unpredictable behaviours and humans increasingly rely on autonomous agents for complex tasks. Moreover, the AILD’s reliance on the concept of risk, inherited from the AI Act, is misplaced, as tort liability intervenes after the risk has materialized. However, the inherent risks in AI systems could justify EU harmonization of AI torts in the direction of strict liability. Bridging the liability gap will enhance AI safety and responsibility, better protect individuals from AI harms, and ensure that tort law remains a vital regulatory tool."

https://www.researchgate.net/publication/384058351_Can_there_be_responsible_AI_without_AI_liability_Incentivizing_generative_AI_safety_through_ex-post_tort_liability_under_the_EU_AI_liability_directive

Responsible AI is a governance framework that guides the development, deployment, and use of artificial intelligence systems in a manner that is ethical, transparent, and accountable. At its core, it is about ensuring that AI technologies are aligned with human values and societal good, mitigating potential harms, and building trust among users and the public. This approach moves beyond simply creating powerful algorithms to considering the broader impact of AI on individuals and society.

Responsible AI refers to the design, development, deployment, and governance of artificial intelligence systems in a way that is ethical, fair, transparent, and accountable, ensuring they align with human values and do not cause harm.

• Fairness AI must treat all users equitably and avoid biases based on race, gender, age, geography, etc.
• Transparency & Explainability Users and stakeholders should understand how an AI system makes decisions (especially in high-stakes domains like healthcare or justice).
• Accountability Developers and organizations must take responsibility for the outcomes of their AI systems.
• Privacy & Security AI should protect individual data, comply with regulations (e.g., GDPR), and be secure against adversarial attacks.
• Human-Centered Design AI should augment—not replace—human decision-making, respecting autonomy and dignity.
• Robustness & Safety AI systems must be reliable and function safely under various conditions, including edge cases or adversarial inputs.