Artificial intelligence (AI) is one of humanity's most promising innovations, poised to transform myriad facets of our lives, from healthcare and education to finance and transportation.
However, as we tread deeper into the realm of AI integration, ethical concerns have arisen, demanding our attention. The responsible implementation of AI is not just a moral imperative but a prerequisite for a sustainable technological future.
We are right now living a new era in which economic development trends with power enough to drive for better or for worse the way of living of millions of westerners, may shift hands. The current status quo in the world is facing game changing tensions with great opportunities for some and great threats for others.
A single photograph offers glimpses into the creator’s world — their interests and feelings about a subject or space. But what about creators behind the technologies that help to make those images possible?
Start talking to Ellie Pavlick about her work — looking for evidence of understanding within large language models (LLMs) — and she might sound as if she’s poking fun at it. The phrase “hand-wavy” is a favorite, and if she mentions “meaning” or “reasoning,” it’ll often come with conspicuous air quotes. This is just Pavlick’s way of keeping herself honest.
Keeping up with the competition necessitates more than simply creativity; it necessitates adaptation to cutting-edge technologies. This is because technology improves efficiency and production by streamlining activities. Through digital marketing and e-commerce, it helps firms to access a larger audience. Adopting automation and data analytics enables better decision-making and cost-cutting. It also makes remote work possible, promoting flexibility and resilience.
An artificial intelligence system can't be registered as the inventor of a patent, Britain's Supreme Court ruled Wednesday in a decision that denies machines the same status as humans.
The UK's highest court concluded that “an inventor must be a person” to apply for patents under the current law.
The decision was the culmination of American technologist Stephen Thaler's long-running British legal battle to get his AI, dubbed DABUS, listed as the inventor of two patents.
Humans have the ability to learn a new concept and then immediately use it to understand related uses of that concept -- once children know how to "skip," they understand what it means to "skip twice around the room" or "skip with your hands up."
It’s no secret that people harbor biases — some unconscious, perhaps, and others painfully overt. The average person might suppose that computers — machines typically made of plastic, steel, glass, silicon, and various metals — are free of prejudice. While that assumption may hold for computer hardware, the same is not always true for computer software, which is programmed by fallible humans and can be fed data that is, itself, compromised in certain respects.
We are right now living a new era in which economic development trends with power enough to drive for better or for worse the way of living of millions of westerners, may shift hands. The current status quo in the world is facing game changing tensions with great opportunities for some and great threats for others.
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