As an authority in the sector, what critical challenges do you think the AI community needs to deal with to make sure responsible & and ethical AI deployment?
I see bias in AI as critical challenge. Trust and ethical principles are essential for all kinds of AI, including GAI innovation. This is very essential for industries that use loads of sensitive data, equivalent 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 are usually 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 prefer to have the broader conversation about AI and Generative AI in order that data scientists realize the holistic context wherein you’ve got to place this. I feel 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 day by day work as a knowledge & decision-scientist at SAS. The world is within the midst of a knowledge revolution, and the mixing 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 luxurious do be right sometimes. It must be accurate on a regular basis and if not, we have to be warned. Only then we are able to begin to trust AI.
How do you envision AI shaping various industries, and what advice would you give to businesses searching for to integrate AI into their operations?
AI and machine learning can enable you to do more, know more, achieve more. AI can unlock recent possibilities in industries equivalent to banking, government, retail, manufacturing, health care and life sciences.
AI adoption is booming. AI is revolutionizing human life and unlocking a complete recent world of innovation – from helping doctors diagnose medical conditions earlier, allowing researchers to innovate recent medications to treat those conditions, and enabling more practical conservation of threatened species and habitats. As AI becomes more prevalent, it’ll 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 grow to be a mainstream tool for business. As the speed of computers increases and the quantity of knowledge explodes, this technology has grow to be 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 can be embedded in practically every industry and business department.
Over the subsequent decade, advances in computer vision will make robots more sophisticated and transform the workplace. Also Generative AI will revolutionize the way in which 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 clear in a sector equivalent 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 wish to proceed providing the identical quality of care in the longer term. An example of that is how Amsterdam UMC uses AI for cancer treatment, to higher discover cancer patients who’re candidates for lifesaving surgery.
What measures do you think must 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 world 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 need to make a positive impact in the sector?
Use AI in a responsible way. Start your AI project not by asking yourself the right way to do it, but when we must 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 the right way to filter information, to distinguish right from mistaken.
If you can solve any global problem on this planet with AI, what would it not be and why?
The social impact of AI, like predicting the subsequent pandemic or sustainability initiatives to cut back emissions. A terrific 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 attributable to 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 world wide come together. This is THE place to share my in-depth knowledge of AI and likewise the right way 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
This article was originally published at blog.worldsummit.ai
