nuria oliver (Alicante, 1970) One of the most authoritative Spanish voices for talking artificial intelligence (AI). A telecommunications engineer and doctor of science from the Massachusetts Institute of Technology (MIT), she has been studying the uses and social impact of this and other technologies for more than 25 years. technologies,
An expert in human-computer interaction, with over 180 scientific publications to his credit, Oliver has been a researcher at Microsoft, Scientific Director of Multimedia at Telefónica and Director of Data Science at Vodafone. He also advises the Government, the Generalitat Valenciana and the European Commission. Currently, he is the Scientific Director and Co-Founder of alice alicanteA non-profit foundation that promotes research aye,
Oliver will star in the final season of the 14th edition this Friday Cornella Crescio ForumA debate venue which gathered this year 900 attendees and which is supported by EL Periódico.
ChatGPT meeting will be held on Saturday Two years after its launchWhat is your assessment of the impact of generic AI?
One of the positive aspects is that the generic AI tools deployed have actually democratized access to this technology and destigmatized its image. However, there are also negative aspects such as ethical dilemmas and social challenges that arise due to its limitations such as lack of authenticity, potential infringement of people’s privacy or copyright, impact on journalism or education… These other risks are added are those that AI already had such as racist bias, gender bias, vulnerability of the system or carbon footprint.
Despite this lack of authenticity, everyone from big companies to students trust these types of chatbots.
To make good use of these systems it is important to know their limitations. Part of the adoption of generic AI is due to the excitement and its magical appearance, but one must be aware that it lacks verisimilitude. Until now its use has been unregulated, allowing companies to do whatever they want. But this will change with new rules agreed in the EU.
Can ethics and regulation move at the same pace as business?
European rules do not regulate the technology, but rather regulate the use of AI. So there may be advances in models, but regulation will be independent of them to minimize the impact that AI use has on society. And this applies to all companies, European or not.
Good regulation can be a great friend of innovation because it allows us to guide technological development
The United States and China are an oligopoly that concentrates AI dominance. Europe has chosen to regulate, but is this a sufficient choice?
iX Workshop: Programming More Productively with Github Copilot and ChatGPTIt is repeated like a mantra that regulation slows down innovation, but good regulation can be a great friend of innovation as it aims to guide technological development. Now the rules of the game are being made so that there is more certainty. The EU has assumed regulatory leadership, but more and more countries like China, the US and other parts of the world are creating the rules and looking to Brussels for inspiration. The most complicated thing is how to make regulation good.
In just a few decades, China has established itself as a powerhouse in AI. What should we learn from them?
Xi Jinping dreams of China becoming the world’s main power and believes that to achieve this, it is necessary to control all areas of AI, from research to innovation and deployment. The government is making incredible and very ambitious investments that we can learn from, but it is also promoting programs to attract talent from around the world.
They have also introduced AI as a subject in schools.
That’s right, this investment in AI happens at all levels of education, from primary school to universities. For 15 years or more I have been proposing that there be a computational thinking subject in compulsory education that allows young people to learn to program as well as having knowledge of data or solving complex algorithmic problems. Knowing computational thinking is to the 21st century what reading and writing was to the 20th century. Taking a photo or sending a message doesn’t make you understand how a cell phone works, you have to learn it. But many important human skills also need to be developed so that we are not limited to just interacting with machines.
Knowing computational thinking is to the 21st century what reading and writing was to the 20th century.
This year’s two Nobel Prize winners Marked by AIIs this the new normal?
These Nobel Prizes reflect the diversity of AI and equate it to the role it played in the discovery of electricity as both are of general use. AI is revolutionizing all disciplines, from scientific to non-scientific. AI is able to process large amounts of data to extract patterns and make predictions that would otherwise be impossible. It is very useful when applied in scientific field. So perhaps in the coming years we will see other Nobel Prizes awarded for discoveries made through this technology, such as in medicine.
Is scientific research the most fertile field for AI?
Most AI deployed commercially is not generative, but is used in companies to analyze data or make logistics processes more efficient, but also in scientific research. Generative AI has caught our attention because it has a very human-like ability to create content. I think that’s why we have this attraction. But although the most popular is to generate text or images, there are many other applications.
Saying that AI will surpass human intelligence is a distraction to avoid talking about more serious problems like its racist and gender biases or its climate impact.
great ai personality they insist when we come closer technological prodigyThe hypothetical scenario in which machines can equal or surpass human intelligence. Are there reasons to believe them or is this an exaggerated strategy to attract investment?
Spotify Virus | Hackers access Spotify playlists: this is how you can avoid theft of your dataThere’s no evidence of this, it’s just a distraction to avoid talking about more urgent problems like the racist and gender biases of these systems or their climate impact. AI can be used for toxic purposes, but there’s a big difference between thinking it’s an existential threat to humanity. Most of the people who talk about the Singularity are changing their definition to fit General AI to their interests. It’s almost an insult to say that ChatGPT comes close to human intelligence.
