Pioneers in Artificial Intelligence and Machine Learning are unearthing exciting opportunities for radical, disruptive and imaginative Deep Tech solutions to deliver unrivalled improvements in people’s lives. These opportunities represent milestones in the democratisation of good health, clean water, quality housing, to delivering on the UN Sustainable Development Goals (SDGs).
Building upon ground-breaking, scalable science, experts in Deep Tech are reimagining the boundaries of social innovation. Pioneering entrepreneurs and scientists have partnered to use Artificial Intelligence to identify illegal logging, create affordable robots to improve access to complex surgeries and harness microbiome science to address water quality.
We are inviting visionary minds to be part of Deep Tech for Good, an SGInnovate initiative. This global initiative aims to gather experts in Science and Technology, entrepreneurship, academia, government and international affairs, to reimagine the boundaries of research-based innovation, catalyse collaborations among corporates, startups and governments, and advance Deep Tech developments for social and economic good.
The Deep Tech for Good partnership aims to:
Addressing the necessity of constructing trusted ecosystems within the technologies developed for the metaverse is a critical consideration. These trusted ecosystems will constitute building in algorithms, structures, frameworks, regulations and policies within hardware and software development cycles to address the distinct elements of safety, privacy, and security within the DNA of the technology.
While TradeTech adoption remains a challenge for large enterprises, most micro and small- and medium-sized enterprises risk being excluded as they lack access. Another key consideration is whether and how to regulate it, given that technology development typically evolves faster than the law. The impact of new solutions needs to be understood before policy-makers can decide whether there is need for regulation – and if so how to come up with a coordinated approach across countries as to avoid market silos.
Serious concerns have also been raised over the use of children's data, such as juvenile records in AI systems, to predict future criminal behaviour and recidivism. Other than posing a threat to privacy, civil society representatives and activists have warned against possible discrimination, bias and unfair treatment. To ensure that AI is child-centred, decision-makers and tech innovators must prioritize children's rights and wellbeing when designing and developing AI systems.
With the task of feeding a growing global population, agriculture stands at yet another important juncture. It is in our collective interest to help agriculture and the global food production system transform so that they can nourish us in a sustainable manner.
In order to find out how Singapore is fostering its local agri-food ecosystem, we invited two experts to share their views on the emerging technologies in AgriTech and working towards boosting agricultural productivity in urban farming. Watch the full interview here.
To engage with the international community of startups and investors, corporate innovators and researchers, government, and international partners on AgriFood technology developments and the future of food, SGInnovate and the UNDP have launched The Digital Feed, a video interview series that delves into the latest developments, trends, and insights in AgriFood.WATCH THE SERIES