HomeEventsExploring the longer term of AI with Silvio Dulinsky, Deputy Secretary General...

Exploring the longer term of AI with Silvio Dulinsky, Deputy Secretary General of the International Organization for Standardization

As experts in the sphere, what key challenges do you’re thinking that the AI ​​community needs to handle to make sure responsible and ethical AI use?

Privacy and Respect: Respect the ownership and intent of coaching data

This includes respecting individuals' private and sensitive information in addition to copyrighted material used to coach AI models. The ownership and original purpose of the info have to be preserved. This is a fundamental consideration with massive implications for the longer term use of AI.

Unintended Consequences and Responsibility

There is a must think concerning the long-term impact of AI on society, culture, behavior and ethics. As the AI ​​community strives to advance innovation and capabilities, it must be cognizant of potential unintended consequences. Contingency planning and governance mechanisms must be developed in parallel or closely following advances in AI. Lack of accountability for unexpected outcomes could, over time, undermine progress and public trust. International standards play a very important role as an interface between the probabilities of AI and social expectations.

How has AI impacted your specific field and what transformative changes do you expect to see within the near future?

Applications of LLMs in Word Processing

Tools like ChatGPT and Google Bart are useful for tasks that require word processing. They also function a start line for preliminary research and refining initial ideas. At ISO, we test advanced AI applications in our standards development processes and for standards dissemination to consumers.

I expect that AI tools will turn out to be widespread in each skilled and private web use, as is already the case in certain industries. I’d encourage schools and workplaces to embrace using AI tools to enhance user experience. Accessible user interfaces make training and integration across age groups, languages ​​and backgrounds relatively easy. Wider adoption is probably going within the near future.

How do you envision AI shaping different industries and what advice would you give to firms trying to integrate AI into their operations?

Certain industries, including media and financial services, face further disruption within the near term. In any case, all firms should prepare their game plan – map their processes and discover weak points in certain tasks. This facilitates a transparent understanding of where AI might be integrated into their operations. Once you discover compelling use cases, you’ll be able to discover the proper tools for quick wins. At ISO, we develop standards to offer guidance for AI use cases in addition to industry-specific guidance in areas similar to health informatics.

What opportunities and challenges do you’re thinking that AI offers for labor markets and human resources development worldwide?

New job opportunities will emerge for the event, training and management of AI and its applications in firms. It also has the potential to automate repetitive tasks and dangerous work that pose high risks to humans. Conversely, AI automation can replace many employees in the prevailing workforce as a cost-saving measure. In such cases, industry and governments must be sure that mechanisms are in place to coach and reskill the workforce to avoid systemic unemployment. AI, like all other powerful technology, generally is a double-edged sword. A concerted global effort is required to focus AI development on solving existing problems reasonably than creating latest ones.

Can you give an example of an AI application or project that impressed you personally and explain why it’s so special?

I feel probably the most influential AI technology to emerge recently has been chatbots like ChatGPT. It sparked the explosion of AI applications now available to most of the people. While it's definitely not an ideal tool, it still has a huge effect. ChatGPT generated interest and stimulated dialogue about AI capabilities. While machine learning and AI were already getting used behind the scenes and recognized as advanced areas of computer science, ChatGPT demonstrated in record-breaking time how such techniques might be scaled and their potential dropped at a wider audience. . This was achieved through an intuitive, user-friendly and accessible interface. In fact, ChatGPT is perhaps the very reason we are able to now bring together international experts, users and developers from all disciplines at a worldwide summit like this.

What measures do you’re thinking that must be taken to shut the gap in AI research between developed and developing countries and ensure equitable technological progress?

To avoid an enormous divide between the “haves” and the “have-nots,” we must first take a step back. Billions of individuals all over the world still lack adequate web access. Although innovation and cutting-edge technology are necessary, the meaning and advantages are lost when only a couple of can profit from them. We need diverse expertise from different regions and industries, in addition to AI specialists involved within the standard-setting process, with participation from all stakeholders across the ecosystem. Industry leaders and governments must ensure this level of inclusion.

Next, education, training and upskilling are required. People need to grasp what AI is, the way to maximize its advantages, and discover potential downsides. Free and open online learning initiatives and tools are an enormous step. Ultimately, firms that support the educational and development of their workforce are positioned to understand the longer-term multiple advantages of AI – benefiting not only firms, but additionally societies and individuals alike.

Which two people do you admire most on the planet of AI by way of their work?

Andrew Ng – While Andrew Ng has had enormous influence within the fields of machine learning and AI, what is really admirable about him is his commitment to bringing cutting-edge technologies to the masses through education. The influence of Coursera and MOOCs has given aspiring learners all over the world access to world-class education. He has continued this mission with Deeplearning.AI. When industry leaders take such ambitious steps to advance education on a worldwide scale, the pool of those that can profit from advances in AI expands significantly.

Judea Pearl was initially a pioneer in computer science who developed a few of the fundamental constructing blocks of AI that we use today. Additionally, his groundbreaking work on causation and causal inference has had an impact in fields well beyond computer science. He can be something of a philosopher who seeks to query and advance fascinated with the longer term potential impacts of AI. Important discussions are needed not only about how AI is developed, but additionally about its philosophical orientation. In this manner, Pearl helps to advance these necessary conversations.

What advice would you give to aspiring AI researchers and enthusiasts who have the desire to make a positive difference on this field?

The answer is straightforward: discover an issue, develop an answer. AI is kind of broad and probably the most positive impact you’ll be able to have is to handle a particular challenge or pain point. Always try to debate and debate the use cases and ethical considerations. A positive final result for AI won’t just occur – we now have to work towards it. This requires us to advance its responsible and ethical development, supported by international, cross-sector collaboration. The capabilities of AI must be defined not only by what’s technically possible, but additionally by the needs and expectations of society.

If you might solve one global problem on the planet with AI, what would it not be and why?

I would really like to see AI applications help solve the issue of climate change. Climate change represents a really real and urgent threat worldwide. Its effects are being felt in increasingly devastating ways all over the world. AI could have many useful applications for monitoring and measuring various climate metrics. This data could then be used to predict environmental crises, develop emergency situations, or develop strategic mitigation plans. AI applications also promise to optimize highly localized mechanisms to administer resource usage or emissions control in tailored ways. To make sure, there are other applications of AI which have yet to be identified. This represents an exciting phase of exploration into how AI might be used to have a positive impact and help solve major global problems.

What inspired you to participate as a speaker at this AI Summit and what message would you wish to convey to the audience?

The AI ​​Summit is an amazing platform for AI experts, researchers, developers, enthusiasts and users to come back together to share, explore and reflect on what AI is and what it might be. These discussions are crucial as AI becomes increasingly intertwined with our on a regular basis lives. The multi-stakeholder interaction stage is at all times helpful for the direction of AI development. The way forward for AI is filled with opportunities, but we must move forward with foresight and responsibility. I sit up for learning and sharing ideas with the AI ​​community about our global efforts to create a shared future.

Global AI events calendar

Eleventh-Twelfth October 2023

Amsterdam, Netherlands

World AI Week

Ninth-Thirteenth October 2023

Amsterdam, Netherlands

Twenty fourth-Twenty fifth April 2024
Montreal Canada

Smart Health

Eleventh-Twelfth September 2024

Basel, Switzerland

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