As an authority in the sphere, what critical challenges do you think the AI community needs to handle to make sure responsible & and ethical AI deployment?
I see bias in AI as critical challenge. Trust and ethical principles are essential for every type of AI, including GAI innovation. This is particularly vital for industries that use loads of sensitive data, similar to the financial services and healthcare industry.
AI poses significant risks whether it is created, deployed and managed without intentionality and discipline. For example, AI systems trained on biased data may learn historical patterns of discrimination against women, people of color or vulnerable populations. If biases in AI systems should not identified and mitigated before deploying and using them, those deployed systems may inherit social biases and cause unintended consequences at scale.
At SAS, we wish to have the broader conversation about AI and Generative AI in order that data scientists realize the holistic context through which you could have to place this. I believe ultimately the conversation must be about trust, transparency and governance of knowledge and models that construct trust.
How has AI impacted your specific field of experience, and what transformative changes do you foresee within the near future?
AI is an element of my each day work as a knowledge & decision-scientist at SAS. The world is within the midst of a knowledge revolution, and the combination of AI into industries is on the forefront of this transformation. That amplifies the necessity to develop and manage AI in a trustworthy way. In critical applications like health care, AI doesn’t have the posh do be right sometimes. It must be accurate on a regular basis and if not, we must be warned. Only then we will begin to trust AI.
How do you envision AI shaping various industries, and what advice would you give to businesses in search of to integrate AI into their operations?
AI and machine learning can make it easier to do more, know more, achieve more. AI can unlock latest possibilities in industries similar to banking, government, retail, manufacturing, health care and life sciences.
AI adoption is booming. AI is revolutionizing human life and unlocking a complete latest world of innovation – from helping doctors diagnose medical conditions earlier, allowing researchers to innovate latest medications to treat those conditions, and enabling more practical conservation of threatened species and habitats. As AI becomes more prevalent, it’s going to affect nearly every aspect of society, from our skilled to private lives.
Trusting organizations to make use of AI responsibly is important for continued business success.
In your opinion, what opportunities and challenges does AI present for job markets and workforce development worldwide?
AI will turn into a mainstream tool for business. As the speed of computers increases and the quantity of knowledge explodes, this technology has turn into critical, as are AI profiles. There is, and proceed to be a growing demand for AI experts across the entire AI lifecycle: AI translators, data engineers and scientists, machine learning engineers, decision scientists… AI shall be embedded in practically every industry and business department.
Over the following decade, advances in computer vision will make robots more sophisticated and transform the workplace. Also Generative AI will revolutionize the best way we work.
Can you share an example of an AI application or project that has personally impressed you, and explain why it stands out?
The added value of AI is obvious in a sector similar to healthcare. The use of AI could make a difference within the efficient design of care processes, reducing workloads and improving the standard of care. An absolute necessity if we would like to proceed providing the identical quality of care in the long run. An example of that is how Amsterdam UMC uses AI for cancer treatment, to raised discover cancer patients who’re candidates for lifesaving surgery.
What measures do you think ought to be taken to bridge the AI research gap between developed and developing nations to make sure equitable technological progress?
Access to technology for everybody and a worldwide agreement for initiatives on inclusivity and variety in AI (education, AI development, governance…). The reason why many AI applications reflect cultural or racial biases is just because developing nations are underrepresented within the training base as they don’t have access to technology. A world agreement on inclusivity and variety in AI is required to get the ball rolling.
What advice would you give to aspiring AI researchers and enthusiasts who intend to make a positive impact in the sphere?
Use AI in a responsible way. Start your AI project not by asking yourself methods to do it, but when we should always do it and what the societal consequences are. We must have a conversation concerning the responsible use of AI. ChatGPT makes AI visible and accessible to a broader audience. This brings more awareness of each the risks and opportunities. For example, humans will still have to learn methods to filter information, to distinguish right from improper.
If you might solve any global problem on the earth with AI, what wouldn’t it be and why?
The social impact of AI, like predicting the following pandemic or sustainability initiatives to cut back emissions. An ideal use case is the 2023 SAS Hackathon team, JaWaRA, that created a centralized and integrated flood control system for Jakarta, based on an evaluation of real-time data from IoT sensors. Since Jakarta, Indonesia’s capital, is sinking on account of climate change and epic floods. Watch the story: https://video.sas.com/sharing?videoId=6335554874112
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 World AI Summit is a topnotch event where AI experts and interested parties all over the world come together. This is THE place to share my in-depth knowledge of AI and likewise methods to deploy generative AI in a trustworthy way and the role of humans.
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
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