Robotics is a discipline that deals with designing, building and programming machines capable of performing tasks autonomously or in collaboration with humans. Robotics has applications in many areas, such as industry, medicine, agriculture, exploration, security and entertainment. However, to interact with robots, humans often have to use physical devices, such as keyboards, mice, joysticks, remote controls or sensors, which can be inconvenient, limiting or unintuitive.

To overcome these obstacles, some researchers are developing brain-robot interface (BRI) systems, which allow users to control robots by thought alone, without the need for any physical device. These systems are based on EEG (electroencephalography) technology, which records and interprets the electrical signals produced by the brain when a person thinks about an action or object.

An example of a BRI system is NOIR (Neural Signal Operated Intelligent Robots), developed by a group of researchers at Stanford University. NOIR is a generic, intelligent system that allows users to command robots to perform everyday tasks through brain signals. Through this interface, users communicate their objects of interest and actions to the robots, using two types of EEG signals: SSVEP (steady-state visually evoked potential) and MI (motor imagery).

SSVEPs are signals generated by the brain when a person looks at a visual stimulus that flashes at a certain frequency. NOIR uses screens showing different objects with different blinking frequencies, and decodes the SSVEPs to understand which object the user wants to manipulate. MIs are signals generated by the brain when a person imagines moving a body part. NOIR uses machine learning algorithms to decode MIs and understand how the user wants to interact with the object. In addition, NOIR uses a safety mechanism that captures jaw muscle tension to confirm or reject decoding results.

NOIR offers various robotic skills, which can be combined to perform complex tasks. The robotic skills are based on 14 parameterised primitive skills, such as picking up, putting down, pushing, cutting, pouring, mixing, switching on, switching off, opening, closing, writing, drawing, playing and singing. These skills can be applied to different objects and contexts, and can be adapted to the preferences and intentions of users.

NOIR demonstrates its success in a wide range of 20 challenging activities typical of everyday life, such as cooking, cleaning, taking care of oneself and having fun. For example, users can control a robot to bake a cake, wash the dishes, sweep the floor, turn on the TV, write a letter, draw a flower, play the piano and sing a song, simply by thinking.

The system’s effectiveness is enhanced by its synergetic integration of robotic learning algorithms, which enable NOIR to adapt to individual users and predict their intentions. The robot learns the user’s object, skill and parameter selections in a few-shot manner, thus reducing the effort and time required for decoding.

The work of Stanford researchers represents a breakthrough in research on thought-controlled robotics, and opens up new possibilities for human-robot interaction based on direct, neural communication. This type of interaction could have benefits for many categories of people, such as the disabled, elderly, sick or isolated, who could use robots to improve their quality of life and autonomy. However, thought-controlled robotics also presents challenges and risks, such as security, privacy, liability, trust and user acceptance, which require further study and regulation.

• Social robotics: how ChatGPT improves the human-robot relationship, which explains how an artificial intelligence system based on natural language can make communication between humans and robots more fluid and human-like.
• Psychology of the human-robot relationship and work in Factory 4.0, which analyses the psychological and social implications of automation and robotization of production processes.
• Human-robot empathy: the complex relationship between AI and emotions, which explores the role of human emotions in relationships with robots and the potential of artificial intelligence to create empathetic artificial agents.

• noir-corl.github.io
• noir-corl.github.io3. noir
• usa.org
• medium.com

NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities

Related topics

L’intelligenza artificiale (AI) è una tecnologia che può offrire grandi opportunità per il mondo della disabilità, migliorando la qualità della vita, l’accessibilità e l’inclusione sociale di molte persone. In questo articolo, vedremo alcune iniziative concrete che dimostrano come l’AI possa essere al servizio delle persone con disabilità, sia in ambito educativo, lavorativo, culturale che sportivo.

L’educazione è un diritto fondamentale per tutti i bambini e i giovani, ma spesso le persone con disabilità incontrano difficoltà e barriere nell’accesso e nella partecipazione alle attività scolastiche. Per questo motivo, l’AI può essere un valido strumento per facilitare l’apprendimento, l’autonomia e la comunicazione degli alunni con disabilità, attraverso soluzioni innovative e personalizzate.

• Un esempio è la guida in linguaggio facilitato Easytoread realizzata dall’associazione L’Abilità onlus e finanziata dalla Fondazione De Agostini, per rendere accessibile alle persone con disabilità intellettiva la visita al Parco Archeologico di Pompei. La guida utilizza un linguaggio semplice e chiaro, accompagnato da immagini e simboli, per raccontare la storia e le curiosità del sito archeologico, stimolando la comprensione e l’interesse dei visitatori con disabilità.
• Un altro esempio è il progetto “AI for Inclusion” lanciato da Microsoft Italia, che invita aziende, startup, associazioni e mondo accademico a sviluppare progetti basati su soluzioni di AI generativa per valorizzare la diversità e promuovere una maggiore accessibilità nel mondo delle aziende e nella società. Tra gli obiettivi del progetto, c’è anche il potenziamento dei servizi di assistenza all’autonomia e alla comunicazione per gli alunni con disabilità della scuola dell’infanzia, della scuola primaria e della scuola secondaria di primo e secondo grado.

Il lavoro è un altro ambito fondamentale per l’inclusione sociale delle persone con disabilità, ma spesso si incontrano ostacoli e pregiudizi che ne limitano le opportunità e le potenzialità. L’AI può contribuire a creare ambienti lavorativi più accessibili e inclusivi, facilitando l’interazione con gli strumenti tecnologici di uso quotidiano e offrendo soluzioni personalizzate per le diverse esigenze.

• Un esempio è Microsoft Copilot, un’AI che aiuta gli sviluppatori a scrivere codice in modo più veloce e semplice, suggerendo linee di codice e correggendo gli errori¹. Questa soluzione può essere utile per le persone con disabilità visive, uditive o motorie, che possono utilizzare l’AI per comunicare con il computer tramite comandi vocali, gestuali o oculari, e scrivere codice in modo più fluido e intuitivo.
• Un altro esempio è il progetto “I Ragazzi di Plinio”, realizzato dalla cooperativa sociale Tulipano e dall’Università Federico II, Dipartimento di scienze mediche Traslazionali, per offrire percorsi sperimentali di fruizione delle domus del Parco Archeologico di Pompei e per la realizzazione di tirocini formativi e inserimento lavorativo per persone e ragazzi con autismo o disabilità cognitiva. Il progetto prevede l’utilizzo di tablet e smartphone dotati di app di realtà aumentata e virtuale, che permettono ai partecipanti di interagire con le opere d’arte e di apprendere le tecniche di restauro e conservazione.

La cultura e lo sport sono due ambiti importanti per il benessere e lo sviluppo personale delle persone con disabilità, ma spesso sono poco accessibili e inclusivi. L’AI può aiutare a superare queste barriere, offrendo soluzioni che rendono più facile e piacevole la fruizione di contenuti culturali e sportivi, e che stimolano la creatività e la partecipazione delle persone con disabilità.

Un esempio è il progetto “AI for Accessibility”, promosso da Microsoft, che finanzia e supporta idee innovative che utilizzano l’AI per migliorare la vita delle persone con disabilità in tutto il mondo¹. Tra i progetti finanziati, ce ne sono alcuni che riguardano la cultura e lo sport, come ad esempio:

• Seeing AI, un’app che usa la fotocamera dello smartphone per descrivere le persone, i testi, gli oggetti e le scene circostanti alle persone con disabilità visive, permettendo loro di accedere a informazioni e contenuti altrimenti inaccessibili.
• InnerVoice, un’app che usa la sintesi vocale e il riconoscimento facciale per aiutare le persone con disabilità del linguaggio a comunicare e a esprimere le proprie emozioni, attraverso avatar animati e personalizzabili.
• Project Tokyo, un progetto che usa una telecamera montata su occhiali e un auricolare per aiutare le persone con disabilità visive a riconoscere le persone e le situazioni intorno a loro, facilitando le interazioni sociali e la partecipazione a eventi culturali e sportivi.

I punti salienti sono stati:

• Hackathon “AI for Inclusion”: Microsoft Italia lancia una call to action per lo sviluppo di progetti basati su soluzioni di AI generativa per valorizzare la diversità e promuovere una maggiore accessibilità nel mondo delle aziende e nella società. L’hackathon è aperto ad aziende, startup, associazioni e mondo accademico.
• AI generativa e inclusione sociale: Microsoft evidenzia come le nuove tendenze digitali come l’AI generativa possano aiutare le persone con disabilità nelle operazioni quotidiane e offrire loro la possibilità di esprimere il proprio potenziale anche nella vita professionale. Microsoft sviluppa prodotti inclusivi “by design” e introduce Microsoft Copilot, un’AI che facilita l’interazione con gli strumenti tecnologici di uso quotidiano.
• Evento in Microsoft House: Microsoft si confronta con aziende, startup, NGO e associazioni sul ruolo del digitale quale abilitatore di inclusione sociale in grado di valorizzare il talento e la diversità in azienda. L’evento ha visto la partecipazione di diversi attori che hanno condiviso le proprie esperienze e sfide in questo ambito.

Intelligenza artificiale per l’accessibilità, così Microsoft promuove l’inclusione

Microsoft Italia annuncia l’hackathon “AI for Inclusion”, per lo sviluppo di progetti di inclusione attraverso l’innovazione digitale

L’AI è una tecnologia che può avere un impatto positivo sul mondo della disabilità, se usata in modo etico e responsabile, per creare soluzioni che rispondano ai bisogni e ai desideri delle persone con disabilità, valorizzando le loro diversità e promuovendo la loro inclusione sociale. In questo articolo, abbiamo visto alcuni esempi di iniziative concrete che dimostrano come l’AI possa essere al servizio delle persone con disabilità, in ambito educativo, lavorativo, culturale e sportivo. Queste iniziative sono solo una parte di un panorama più ampio e in continua evoluzione, che richiede la collaborazione tra diversi attori, come aziende, istituzioni, associazioni, ricercatori e persone con disabilità, per sfruttare al meglio le potenzialità dell’AI e per garantire il rispetto dei diritti e della dignità delle persone con disabilità.

• https://www.salutarmente.it/news/giornata-mondiale-persone-disabilita-dati-iniziative-2021
• https://www.ticonsiglio.com/fondo-unico-inclusione-persone-disabilita/
• https://www.ilmattino.it/napoli/cronaca/napoli_pompei_i_percorsi_e_le_iniziative_per_l_accessibilita_delle_persone_con_disabilita-7792377.html
• https://www.vita.it/linclusione-oltre-i-progetti-per-i-bambini-con-disabilita/

Argomenti correlati

Artificial intelligence (AI) is a technology that can offer great opportunities for the world of disability, improving the quality of life, accessibility and social inclusion of many people. In this article, we will look at some concrete initiatives that demonstrate how AI can serve people with disabilities, whether in education, employment, culture or sports.

Education is a fundamental right for all children and young people, but people with disabilities often face difficulties and barriers in accessing and participating in school activities. For this reason, AI can be a valuable tool to facilitate learning, autonomy and communication for pupils with disabilities through innovative and customised solutions.

• One example is the Easytoread facilitated language guide created by the association L’Abilità onlus and financed by the De Agostini Foundation, to make the visit to the Archaeological Park of Pompeii accessible to people with intellectual disabilities. The guide uses simple and clear language, accompanied by images and symbols, to tell the history and curiosities of the archaeological site, stimulating the understanding and interest of visitors with disabilities.
• Another example is the ‘AI for Inclusion’ project launched by Microsoft Italy, which invites companies, start-ups, associations and the academic world to develop projects based on generative AI solutions to enhance diversity and promote greater accessibility in business and society. Among the objectives of the project, there is also the strengthening of autonomy and communication assistance services for pupils with disabilities in pre-school, primary and secondary schools.

Work is another key area for the social inclusion of people with disabilities, but they often face obstacles and prejudices that limit their opportunities and potential. AI can help create more accessible and inclusive working environments, facilitating interaction with everyday technological tools and offering customised solutions for different needs.

• One example is Microsoft Copilot, an AI that helps developers write code faster and easier by suggesting lines of code and correcting errors¹. This can be useful for people with visual, hearing or motor disabilities, who can use AI to communicate with the computer via voice, gesture or eye commands, and write code more fluidly and intuitively.
• Another example is the project ‘I Ragazzi di Plinio’ (Pliny’s Boys), implemented by the Tulipano social cooperative and the Federico II University, Department of Translational Medical Sciences, to offer experimental paths for the use of the domus of the Pompeii Archaeological Park and for the realisation of training and work placement for persons and boys with autism or cognitive disabilities. The project involves the use of tablets and smartphones equipped with augmented and virtual reality apps, which allow participants to interact with the works of art and learn restoration and conservation techniques.

Culture and sport are two important areas for the well-being and personal development of people with disabilities, but they are often not very accessible and inclusive. AI can help overcome these barriers by offering solutions that make it easier and more enjoyable to enjoy cultural and sports content, and that stimulate the creativity and participation of people with disabilities.

One example is the ‘AI for Accessibility’ project, promoted by Microsoft, which funds and supports innovative ideas that use AI to improve the lives of people with disabilities worldwide¹. Among the projects financed, there are some concerning culture and sport, such as:

• Seeing AI, an app that uses the smartphone camera to describe people, text, objects and surrounding scenes to people with visual impairments, enabling them to access information and content that would otherwise be inaccessible.
• Seeing AI, un’applicazione che utilizza la fotocamera dello smartphone per descrivere persone, testi, oggetti e scene circostanti a persone con disabilità visive, consentendo loro di accedere a informazioni e contenuti altrimenti inaccessibili.
• Project Tokyo, a project that uses a camera mounted on glasses and a headset to help visually impaired people recognise people and situations around them, facilitating social interactions and participation in cultural and sporting events.

The highlights were:

• Hackathon “AI for Inclusion”: Microsoft Italy launches a call to action for the development of projects based on generative AI solutions to enhance diversity and promote greater accessibility in business and society. The hackathon is open to companies, start-ups, associations and academia.
• Generative AI and social inclusion: Microsoft emphasises how new digital trends such as generative AI can help people with disabilities in everyday operations and offer them the opportunity to fulfil their potential also in their professional lives. Microsoft develops inclusive products ‘by design’ and introduces Microsoft Copilot, an AI that facilitates interaction with everyday technological tools.
• Evento in Microsoft House: Microsoft talks to companies, start-ups, NGOs and associations about the role of digital as an enabler of social inclusion that can enhance talent and diversity in the company. The event was attended by various actors who shared their experiences and challenges in this field.

Intelligenza artificiale per l’accessibilità, così Microsoft promuove l’inclusione

Microsoft Italia annuncia l’hackathon “AI for Inclusion”, per lo sviluppo di progetti di inclusione attraverso l’innovazione digitale

AI is a technology that can have a positive impact on the world of disability, if used in an ethical and responsible way, to create solutions that meet the needs and desires of people with disabilities, enhancing their diversity and promoting their social inclusion. In this article, we have seen some examples of concrete initiatives that demonstrate how AI can serve people with disabilities, in education, employment, culture and sports. These initiatives are only part of a broader and evolving panorama, which requires collaboration between different actors, such as companies, institutions, associations, researchers and people with disabilities, in order to make the most of the potential of AI and to ensure respect for the rights and dignity of people with disabilities.

• https://www.salutarmente.it/news/giornata-mondiale-persone-disabilita-dati-iniziative-2021
• https://www.ticonsiglio.com/fondo-unico-inclusione-persone-disabilita/
• https://www.ilmattino.it/napoli/cronaca/napoli_pompei_i_percorsi_e_le_iniziative_per_l_accessibilita_delle_persone_con_disabilita-7792377.html
• https://www.vita.it/linclusione-oltre-i-progetti-per-i-bambini-con-disabilita/

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Amazon has launched Q, an artificial intelligence-based chatbot dedicated to businesses, which promises to revolutionise the way workers access information, generate content and initiate actions. Q was presented at the AWS re:Invent 2023 conference in Las Vegas, where Amazon Web Services CEO Adam Selipsky outlined its potential and features.

What is Q and how it works

Q is a chatbot that uses artificial intelligence to answer workers’ questions, providing them with useful and relevant information, based on data and knowledge in the company. Q was trained on 17 years of experience from AWS, Amazon’s cloud computing service, which offers over 200 services to power the web, data collection and analysis, artificial intelligence, security and more1..

Q is able to understand natural language and generate consistent and accurate answers, even to complex or ambiguous questions. Q can also create content, such as documents, reports, presentations, graphics, code and more, based on user requests and available data. In addition, Q can initiate actions, such as sending emails, booking meetings, updating calendars, changing settings, launching applications and more, simply by asking it.

Q is integrated with AWS services, such as Amazon Connect, Amazon Supply Chain, Amazon QuickSight and others, and can be customised to suit the specific needs of each company. Q is available as a preview for AWS customers from USD 20 per user per year.

What are the differences with other chatbots

Q presents itself as an innovative and revolutionary solution in the field of chatbots for business, challenging competitors such as ChatGPT and Duet AI. ChatGPT is the generative artificial intelligence model developed by OpenAI, which can produce texts of any kind from an initial input. ChatGPT has been used to create several chatbots, such as ChatGPT Enterprise, which offers a platform to create customised chatbots for companies, and ChatGPT Copilot, which assists developers in writing code.

Duet AI is the name given by Google to its set of collaborative tools based on artificial intelligence, available for Google Workspace, Google’s online productivity suite. Duet AI includes features such as Smart Compose, which suggests words and phrases to complete emails, Smart Reply, which proposes short and relevant replies to messages, and Smart Canvas, which integrates documents, spreadsheets and presentations with interactive elements such as checklists, tables and graphs.

The main differences between Q and other chatbots are:

• Q is more comprehensive and versatile, as it can not only answer questions and generate content, but also initiate actions and interact with AWS services.
• Q is more specific and adaptable, as it has been trained on AWS data and knowledge, and can be customised for each company and sector.
• Q is cheaper and more accessible, as it has an annual cost of $20 per user, while ChatGPT Enterprise costs $99 per month per user, and Duet AI requires a Google Workspace subscription, which starts at $6 per month per user .

What are the advantages and challenges of Q

Q offers numerous advantages for companies that adopt it, including:

• Increased productivity, as workers can access information quickly and easily, without having to consult documents, forums or colleagues.
• Reduced costs, as workers can generate quality content without the need for experts, consultants or external software.
• Improved customer service, as workers can provide accurate and timely answers to customers, without having to transfer calls or wait for confirmations.
• Development of innovation, as workers can use Q’s skills and ideas to create new products, services or solutions.

However, Q also presents some challenges, including:

• Quality assurance, as workers must check the accuracy and relevance of the answers and content generated by Q, and correct any errors or inaccuracies.
• Protection of privacy, as workers must ensure that Q does not disclose sensitive or confidential information, either internally or externally.
• Change management, as workers have to adapt to the new way of working with Q, and overcome any resistance or mistrust.

Conclusion

Q is Amazon’s new chatbot, based on artificial intelligence, targeting companies, offering them a digital assistant that can answer questions, generate content and initiate actions. Q differs from other chatbots in its comprehensiveness, specificity, adaptability, affordability and accessibility. Q offers advantages in terms of productivity, costs, customer service and innovation, but also presents challenges in terms of quality, privacy and change.

• Amazon Q: Amazon launched its artificial intelligence chatbot for businesses, called Amazon Q, which is based on its Bedrock platform and uses several AI systems, including Amazon’s Titan and those developed by Anthropic and Meta.
• Advantages and functionality: Amazon Q promises to help businesses improve productivity, reduce costs and offer better service to consumers. The chatbot can provide answers, chat, generate content and take actions using the data and skills present in the company. It can also automatically modify the source code of companies, speeding up development.
• Safety and securitye: Amazon Q offers protection against questionable content and the legal and reputational damage that can result from the use of artificial intelligence. The chatbot allows users to filter harmful content and set limits on the generative AI they use. It also ensures the security of sensitive data and indemnifies customers against lawsuits based on the misuse of copyrighted material.
• Cost and competition: Amazon Q costs $20 per month per user, which is lower than the chatbots of Microsoft and Google, both of which are based on OpenAI technology. With this step, Amazon wants to shake off the perception that it is lagging behind its competitors in artificial intelligence.

• msn.com
• infodata.il
• sole24ore.com
• webmasterpoint.org
• forbes.it
• xiaomitoday.it
• msn.com
• infodata.il
• sole24ore.com

Related Topics

In the vast world of artificial intelligence, challenges and threats arise that require our attention and protection. Today, we explore a delicate and crucial aspect: ‘prompt leaking’, a hacking technique that threatens the security of information stored in generative artificial intelligence models. Through this investigation, we will discover how to defend ourselves against this subtle threat that creeps in between the folds of prompts, opening unwanted doors.

Imagine the prompt as a magic key that opens the door to a world of words and knowledge. However, as in any fairy tale, this key can fall into the wrong hands, turning into a source of violence. In our year together, we have shared experiences and discoveries, but now we enter into territory where caution is our guide.

Protect the Prompt Frame:

To preserve the safety of our journey, it is essential to put in place robust defensive measures. Prompt-based defences, careful monitoring of output and the use of control models prove crucial. However, we must be aware that no defensive measure offers 100 per cent security in the current generation of chatbots and artificial intelligence models.

The Thin Line between Prompt Injection and Prompt Leaking:

The distinction between ‘prompt injection’ and ‘prompt leaking’ is crucial to fully understanding the threats we face. While the former seeks to influence the response of the model, the latter aims to extract sensitive and confidential secrets from the model itself, including the prompts used.

Exploring Differences:

Through concrete examples, let us dive into the differences between ‘prompt injection’ and ‘prompt leaking’. The former could be compared to an action in which an attacker inserts malicious instructions to obtain specific answers. The second represents the extraction of sensitive information directly from prompts, compromising the confidentiality of vital data.

Treasury Protection:

We reveal together what we jealously guard: sensitive prompts, customised training data, unique algorithms and architectures. Protecting this information is crucial for the security and competitiveness of companies that rely on artificial intelligence.

Thus we conclude our exploration of ‘prompt leaking’, a journey through the finer folds of artificial intelligence security. Like any journey, it requires awareness, preparation and a commitment to protect the hidden treasure behind each prompt. On this anniversary, we strengthen our determination to navigate wisely through the challenges ahead.

Remember that the secret information vital to a model that must be defended against attacks includes:

• Sensitive and Proprietary Prompts: The specific prompts used by a company to obtain desired results from artificial intelligence models. These prompts may contain proprietary know-how and confidential information that must be protected to preserve the company’s competitiveness.
• Customised training data: If a model has been trained on customised or proprietary data, it is vital to protect such data to prevent the leakage of sensitive or confidential information.
• Algorithms and custom architectures: Customised algorithms and architectures developed by a company to improve model performance must be defended to preserve innovation and competitive advantage.
• Sensitive information generated by the model: Sensitive or confidential information that could be generated as output from the model and must be protected against unauthorised disclosure.

Protecting this information is crucial to preserving the security and competitiveness of a company.

Here are two examples illustrating the differences between ‘prompt injection’ and ‘prompt leaking’:

• Prompt Injection: An example of a prompt injection could be an attacker entering a prompt asking an artificial intelligence model to generate details of an illegal operation, bypassing the model’s rules and restrictions. For example, the attacker might ask the model to describe in detail how to perform a theft or malicious action, causing it to generate an inappropriate response.
• Prompt Leaking: In the case of prompt leaking, an example would be the extraction of sensitive or confidential prompts from the answers of a model. For instance, if a company uses a specific prompt as part of its proprietary know-how, prompt leaking could compromise the confidentiality of that information, as an attacker could extract the prompt itself from the model’s answers.

These examples show how prompt injection aims to influence the response of the model, while prompt leaking attempts to extract sensitive or confidential information from the model itself, including the prompts used.

Related topics

• https://www.agendadigitale.eu/cultura-digitale/prompt-hacking-le-tecniche-per-manipolare-lia-i-rischi-e-come-difendersi/
• https://www.ictsecuritymagazine.com/articoli/prompt-hacking-vulnerabilita-dei-language-model/
• https://www.packtpub.com/article-hub/preventing-prompt-attacks-on-llms
• https://learnprompting.org/docs/prompt_hacking/leaking
• https://learnprompting.org/docs/prompt_hacking/leaking

I would like to propose an interesting article from :

https://www.wired.it/article/intelligenza-artificiale-fazioni-utopisti-apocalittici-sicurezza-etica/#intcid=_wired-it-right-rail_f63a9c3e-b9d6-49c8-afa0-ac1517cd0645_popular4-1

The OpenAI saga: A story of ambition, conflict and conflicting views on artificial intelligence, which saw the dismissal and return of founder Sam Altman, accused of wanting to create a superintelligence dangerous to humanity. This episode, which shook the world of AI, is emblematic of how this technology is at the centre of an increasingly heated and polarised debate, involving not only experts, but also politicians, the media and the public. In this article, we will try to analyse the different positions and perspectives that characterise the AI sector, divided between techno-apocalyptics, techno-utopians, ethicists and security experts, and their possible future scenarios. In addition, I will focus on the real and current problems that can arise from the use of AI-based systems, such as discrimination, surveillance and manipulation, and the role of researchers who study and denounce them…

• The OpenAI saga: The artificial intelligence company was at the centre of a controversy that led to the dismissal and then reinstatement of its founder Sam Altman. The reason would be related to differences over the development of AI.
• The four groups dominating the debate on AI:The artificial intelligence sector is divided between techno-apocalyptics, techno-utopians, ethicists and security experts¹. Everyone has a different view on the risks and opportunities of this technology.
• The concrete and immediate effects of AI: Some researchers study and report on the problems of discrimination, surveillance and manipulation that can arise from the use of artificial intelligence-based systems. These problems are more urgent and realistic than those related to a phantom super-intelligence.

• Techno-apocalyptic: They are those who fear that AI could become an existential threat to humanity, exceeding human capabilities and escaping the control of humans. Supporters of this view include personalities such as Elon Musk, Stephen Hawking and Nick Bostrom.
• Techno-utopists: They are those who believe that AI can bring enormous benefits to humanity by improving quality of life, health, education and productivity. Supporters of this view include personalities such as Ray Kurzweil, Sam Altman and Mark Zuckerberg.
• Ethics experts: They are those who study and promote the moral principles that should guide the development and use of AI, in order to ensure respect for human rights, justice, transparency and accountability. Supporters of this view include personalities such as Francesca Rossi, Stuart Russell and Timnit Gebru.
• Security experts: They are those who are in charge of analysing and preventing the technical and social risks that can arise from the use of AI, such as vulnerability to cyber attacks, data manipulation, discrimination and unemployment. Supporters of this view include personalities such as Yoshua Bengio, Cynthia Dwork and Oren Etzioni.

• wired.it
• dirittodellinformazione.it

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Antonio Guadagno

3.77K subscribers

Today I want to share an excellent tutorial by Antonio Guadagno that I invite you to follow on YouTube as it has a sober, incisive and immediate communication.

Hi guys! Welcome back to the channel. Today we are talking about a very interesting artificial intelligence. It is called perplexity and is a cross between Google and GPT chat, i.e. a search engine powered by artificial intelligence. What impressed me about perplexity is that it does not so much try to be an alternative to GPT chat, but rather an alternative to Google. Thus, it aims to change the way we search for information online. In this video, I show you in detail all the features offered by perplexity: internet connection, possibility to upload PDFs, smartphone apps and much more. So I would say not to waste any time and start now.

So here we are on the perplexity site, www.perplexity.it. Google-style, we ask: “How high is the Leaning Tower of Pisa?” We press enter and as you can see, he responds very quickly indeed. Here at the top we have the ‘sources’ section, very much in the style of Google, with a number of recommended sites related to our search. If we click on one of these sites, the website actually opens. Returning instead to perplexity, in the ‘answer’ section we have an answer in words, which seems to be written by a human being. We then note that each piece of information has its own source.

We continue with other features. We can ask specific questions and upload PDFs. I uploaded a PDF of JP Morgan on ETFs. For example, I ask: “What is this file about?” and get an accurate answer. I try out more specific questions on the content of the PDF, such as “Which chapters are in the ‘in-depth’ section?” and get detailed answers. This function is very convenient both for summaries and for retrieving specific information in PDFs.

The main objective of perplexity is to change the way we search for information online. He developed the ‘Focus’ mode and the ‘CoPilot’. The ‘Focus’ mode allows us to select from which type of sources we want perplexity to retrieve information. For example, one can select YouTube to find videos on a specific topic.

Now let’s talk about ‘CoPilot’, which is even more interesting. Suppose we want to organise a trip to Japan, we are at the beginning of our research and we don’t know anything yet. We activate CoPilot and do a generic search. CoPilot asks us questions to make the request more specific, then gathers information from different sources and gives us a detailed summary. It is like doing several searches, but all at once.

There is also a perplexity smartphone app, which brings all these functions to your fingertips. In addition, there is an extension for Chrome that integrates perplexity on the websites we visit. We can ask for a summary of the current page or change the ‘Focus’ to search for information on the whole Internet or only on certain domains, such as Wikipedia.

In conclusion, perplexity is a very interesting artificial intelligence that offers many useful features when searching for information online. Let me know what you think in the comments, leave a Like if you liked the video, and don’t forget to subscribe to the channel to stay updated on artificial intelligence. Thanks !

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