NCSF GBG, Gothenburg Videos

Videos by NCSF GBG in Gothenburg. We bridge Nordic and Chinese innovation systems. Cross-border innovation within reach

🌟 AIm for the Future together with NCSF Gothenburg🌟

NCSF Gothenburg is very excited to share some highlights from our “Aim for the Future” event!🥳

🤖 AI technology is omnipresent and has great potential to improve industrial efficiency and sustainability. However, there is a lack of accessibility and affordability for companies, especially for SMEs. How do industries make AI more accessible? One of the ways that AI could contribute dramatically to other sectors is through low code/no code AI or explainable AI that does not require expertise knowledge to manage. Synthetic datasets can be used to generate more equal and fair distribution of data. Different platforms could be hired as a service to validate, analyze and monitor to ensure transparency, unbiased, fairness, equality and trustworthiness

🤖 One of the topics that was discussed was if AI should be regulated, and if so, how it should be regulated. AI regulations exist, but there are no international laws and lack enforcements. There is also a gap in between top-to-bottom regulations with what engineers work with on a daily basis. It was discussed that there should be an international dialogue, not only to bridge the gap aforementioned but to also address the social aspects. AI could bring huge risks if used as a powerful tool for malicious purposes, for example, data abuse in hiring or to make financial decisions such as borrowing loans. Who will be responsible if something goes wrong? Another challenge is that AI is still at a very early stage, it has yet to mature into an industry, which makes it more challenging to regulate. Hence, one of the perspectives might be through regulating products, services and end users

🤖 When it comes to female leadership within the AI sector, only 20% of AI research and developers are women. STEM sectors need all genders working together in order to achieve working balance. Our experts discussed ways to improve the gender imbalance within the AI industr

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Other NCSF GBG videos

🌟 AIm for the Future together with NCSF Gothenburg🌟 NCSF Gothenburg is very excited to share some highlights from our “Aim for the Future” event!🥳 🤖 AI technology is omnipresent and has great potential to improve industrial efficiency and sustainability. However, there is a lack of accessibility and affordability for companies, especially for SMEs. How do industries make AI more accessible? One of the ways that AI could contribute dramatically to other sectors is through low code/no code AI or explainable AI that does not require expertise knowledge to manage. Synthetic datasets can be used to generate more equal and fair distribution of data. Different platforms could be hired as a service to validate, analyze and monitor to ensure transparency, unbiased, fairness, equality and trustworthiness 🤖 One of the topics that was discussed was if AI should be regulated, and if so, how it should be regulated. AI regulations exist, but there are no international laws and lack enforcements. There is also a gap in between top-to-bottom regulations with what engineers work with on a daily basis. It was discussed that there should be an international dialogue, not only to bridge the gap aforementioned but to also address the social aspects. AI could bring huge risks if used as a powerful tool for malicious purposes, for example, data abuse in hiring or to make financial decisions such as borrowing loans. Who will be responsible if something goes wrong? Another challenge is that AI is still at a very early stage, it has yet to mature into an industry, which makes it more challenging to regulate. Hence, one of the perspectives might be through regulating products, services and end users 🤖 When it comes to female leadership within the AI sector, only 20% of AI research and developers are women. STEM sectors need all genders working together in order to achieve working balance. Our experts discussed ways to improve the gender imbalance within the AI industr