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Why should we fear Artificial Intelligence? After all, we are the ones that are creating it, and yet we seem to not be aware of what the ultimate outcome will be. So what can we do to ensure that we are not creating some kind of unethical monster machinery that will not know the difference between what is good or bad for those who brought it to life?
There is no doubt in our mind that such an ethical path must be defined and the subsequent strategies and regulations need to be adopted and followed by the whole scientific community.
Of this, the importance of transparency and explainability for the future of a responsible and ethical AI we discuss in this podcast.
Put your thinking cap on and join us.
______________________________
Guest
Stephan Jou
On Linkedin | https://www.linkedin.com/in/stephan-jou-7b952/
On Twitter | https://twitter.com/eeksock
______________________________
Resources
Sector CA Session: https://sector.ca/sessions/responsible-and-ethical-ai-for-cyber-why-its-important-why-its-hard-how-to-do-it/
EU Regulation: https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=75788
Guide: https://www.alexandra.dk/wp-content/uploads/2020/10/Alexandra-Instituttet-whitepaper-Privacy-Preserving-Machine-Learning-A-Practical-Guide.pdf
______________________________
This Episode’s Sponsors
BlueLava ✨ https://itspm.ag/blue-lava-w2qs
Devo ✨ https://itspm.ag/itspdvweb
Are you interested in sponsoring an ITSPmagazine Channel?
👉 https://www.itspmagazine.com/podcast-series-sponsorships
______________________________
To see and hear more Redefining Technology stories on ITSPmagazine, visit:
🎙✨ https://www.itspmagazine.com/redefining-technology
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
By ITSPmagazine, Sean Martin, Marco Ciappelli5
3030 ratings
Why should we fear Artificial Intelligence? After all, we are the ones that are creating it, and yet we seem to not be aware of what the ultimate outcome will be. So what can we do to ensure that we are not creating some kind of unethical monster machinery that will not know the difference between what is good or bad for those who brought it to life?
There is no doubt in our mind that such an ethical path must be defined and the subsequent strategies and regulations need to be adopted and followed by the whole scientific community.
Of this, the importance of transparency and explainability for the future of a responsible and ethical AI we discuss in this podcast.
Put your thinking cap on and join us.
______________________________
Guest
Stephan Jou
On Linkedin | https://www.linkedin.com/in/stephan-jou-7b952/
On Twitter | https://twitter.com/eeksock
______________________________
Resources
Sector CA Session: https://sector.ca/sessions/responsible-and-ethical-ai-for-cyber-why-its-important-why-its-hard-how-to-do-it/
EU Regulation: https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=75788
Guide: https://www.alexandra.dk/wp-content/uploads/2020/10/Alexandra-Instituttet-whitepaper-Privacy-Preserving-Machine-Learning-A-Practical-Guide.pdf
______________________________
This Episode’s Sponsors
BlueLava ✨ https://itspm.ag/blue-lava-w2qs
Devo ✨ https://itspm.ag/itspdvweb
Are you interested in sponsoring an ITSPmagazine Channel?
👉 https://www.itspmagazine.com/podcast-series-sponsorships
______________________________
To see and hear more Redefining Technology stories on ITSPmagazine, visit:
🎙✨ https://www.itspmagazine.com/redefining-technology
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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