As experts in the sphere, what critical challenges do you suspect the AI community needs to handle to make sure responsible & and ethical AI deployment?
Privacy and Respect: Respecting Ownership and Intent of Training Data
This includes respecting the private and sensitive information of people, in addition to copyrighted material, used to coach AI models. Ownership and original intent of information should be maintained. This is a fundamental consideration with massive implications for a way AI will probably be used going forward.
Unintended Consequences & Accountability
Thought should be given to the long-term impact of AI on society, culture, behavior and ethics. In its efforts to advance advancing innovation and capabilities, the AI community should pay attention to potential unintended consequences. Contingency planning and governance mechanisms must be developed in parallel with, or closely following, advances in AI. Lack of accountability for unexpected outcomes could undermine progress and public trust over time. International standards play a vital role because the interface between the opportunities presented by AI and society’s expectations.
How has AI impacted your specific field of experience, and what transformative changes do you foresee within the near future?
Applications of LLMs in Text Processing
Tools like ChatGPT and Google Bart are useful for tasks requiring text processing. They also function a place to begin for preliminary research and refining initial ideas. At ISO, we’re testing advanced AI applications in our standards development processes and for the dissemination of standards to consumers.
I expect to see AI tools develop into widely integrated in each skilled and private web use, as is already the case with certain industries. I’d encourage schools and workplaces to embrace using AI tools to enhance the user experience. Accessible user interfaces make training and integration relatively easy across ages, languages and backgrounds. Wider adoption seems likely within the near future.
How do you envision AI shaping various industries, and what advice would you give to businesses looking for to integrate AI into their operations?
Certain industries, including media and financial services, can expect more disruption within the short term. In any case, all businesses should prepare their game plan – mapping out their processes and identifying pain points across specific tasks. This will facilitate a transparent understanding of where AI will be integrated into their operations. Once you will have pinpointed compelling use cases, you possibly can then discover the precise tools for quick wins. At ISO, we’re developing standards to supply guidance on AI use cases in addition to industry-specific guidance in such areas as health informatics.
In your opinion, what opportunities and challenges does AI present for job markets and workforce development worldwide?
New employment opportunities will emerge to develop, train and manage AI and it`s applications in businesses. It also has the potential to automate repetitive tasks and dangerous jobs that present high risk for humans. , Inversely, AI automation may replace lots of the employees in the prevailing workforce as a measure of cost saving. In such cases, industries and governments must ensure mechanisms are in place to coach and upskill the workforces to avoid systemic unemployment. AI, like every other powerful technology, could be a double-edged sword. A concerted global effort is required to tailor AI development towards solving existing problems fairly than creating latest ones.
Can you share an example of an AI application or project that has personally impressed you, and explain why it stands out?
I believe essentially the most impactful AI technology to emerge recently has been chatbots like ChatGPT. It kick-started the explosion of AI applications now accessible to most people. While definitely not an ideal tool, its impact has been massive. ChatGPT created intrigue and stimulated dialogue around AI capabilities. While machine learning and AI were already used behind the scenes, and recognized as advanced fields of computer science, ChatGPT demonstrated how such techniques may very well be scaled and their potential showcased to wider audiences, in record-breaking time. . It achieved this through an intuitive, easy-to-use and accessible interface. In fact, ChatGPT would be the very reason we at the moment are capable of convene international experts, users and developers from across disciplines at a worldwide summit similar to this one.
What measures do you suspect must be taken to bridge the AI research gap between developed and developing nations to make sure equitable technological progress?
To avoid a large divide between the “haves” and “have nots,” we must first take a step back. Billions of individuals globally still lack proper web access . While innovation and cutting-edge technology are vital, the meaning and advantages are lost if only a couple of can make the most. We need diverse expertise from various geographies, industries and AI specialists involved within the standard-setting process, with the participation of all stakeholders across the ecosystem. Industry leaders and governments must ensure this level of inclusion.
Next, education, training and upskilling are required. People must understand what AI is, how you can maximize its uses, and recognize potential downsides. Free and open online learning initiatives and tools are an awesome step. Finally, businesses that foster workforce learning and development are poised to leverage AI’s longer-term multifaceted benefits — benefiting not only corporations but societies and individuals alike.
What 2 people do you admire most on the earth of AI when it comes to their work?
Andrew Ng – While Andrew Ng is massively influential within the fields of machine learning and AI, what is actually admirable about him is his effort to make cutting-edge technologies accessible to the masses through education. The impact of Coursera and MOOCs has enabled aspiring learners world wide to access top-quality education. He has continued this mission with Deeplearning.AI. When industry leaders take such ambitious steps to advertise educational outreach on a worldwide scale, it meaningfully expands who can profit from advances in AI.
Judea Pearl was first a pioneering computer scientist who developed a number of the fundamental constructing blocks of AI that we utilize today. Moreover, his seminal work on causality and causal inference has impacted fields well beyond computer science. He can also be something of a philosopher, looking for to query and push forward deliberations around AI’s future potential implications. Important discussions are needed regarding not only how AI is developed but in addition its philosophical direction. In this manner, Pearl helps to drive those vital conversations.
What advice would you give to aspiring AI researchers and enthusiasts who need to make a positive impact in the sphere?
The answer is easy: Identify an issue, develop an answer. AI is kind of broad and essentially the most positive impact one could make is by addressing a particular challenge or pain point. Always try to debate and debate in regards to the use cases and ethical considerations. A positive end result for AI won’t simply occur – we’d like to steer towards it. This requires us to advance its responsible and ethical development, underpinned by international, cross-sectoral cooperation. AI’s capabilities shouldn’t be defined only by what’s technically possible, but in addition by what society needs and expects.
If you might solve any global problem on the earth with AI, what wouldn’t it be and why?
I’d like to see applications of AI help solve the issue of climate change. Climate change poses a really real and urgent threat globally. Its effects are being felt worldwide in increasingly devastating ways. AI could have many useful applications for monitoring and measuring various climate metrics. This data could then be used to predict environmental crises, develop contingencies, or devise strategic plans for mitigation. AI applications also hold promise for optimizing highly localized mechanisms to administer resource utilization or emissions control in tailored ways. Definitely, there are other applications of AI which have yet to be identified. This presents an exciting phase of exploration into how AI will be leveraged to positively impact and help solve major global problems.
What inspired you to take part in this AI summit as a speaker, and what message do you hope to convey to the audience?
The AI Summit is an awesome platform for experts, researchers, developers, enthusiasts and users of AI to come back together to share, explore and deliberate on what AI is and what it could actually be. These discussions are crucial as AI gets increasingly more intertwined with our on a regular basis lives. The stage for multistakeholder interaction is at all times helpful for the direction of AI development. The way forward for AI is crammed with opportunity, but we must advance with foresight and responsibility. I look ahead to learning and exchanging ideas with the AI community on our global efforts to create a standard future.
Global AI events calendar
11-12 October 2023
Amsterdam, Netherlands
World AI Week
9-13 October 2023
Amsterdam, Netherlands
24-25 April 2024
Montréal, Canada
Intelligent Health
11-12 September 2024
Basel, Switzerland
This article was originally published at blog.worldsummit.ai
