Leila Meliani's Profile
I think algorithm-enabled hiring tools are becoming increasingly popular for organizations that are looking for ways to remain competitive in attracting and retaining talent. I am skeptical of algorithmic solutions for predicting “fit.” I would want organizations to test these tools on high-performing employees and compare results with competitive candidates. This would be an interesting way of assessing whether or not the algorithm’s definition of “fit” is in line with the organization’s culture.
The philosophical questions you introduced about privacy and data sharing are certainly worthy of debate. The fact that 23&Me is able to share data with 3rd parties is incredibly concerning. For example, law enforcement agencies recently used data from an online genealogical site as a source to compare DNA samples during the investigation of a crime. 23&Me and Ancestry.com have both said that they do not work directly with law enforcement, but this could change in the future. I think the potential for a positive impact to solve previously dead-end cases is enormous and should be explored. However, the machine learning innovations in predictive policing in combination with access to genetic data from genealogical sites is worthy of deep concern from a privacy and civil liberties perspective. In either case, I am very interested in following this trend in the future. Thanks for writing about it!
Thanks for sharing! I completely agree that open innovation is not necessarily good for ES&S in this case. However, I do think that the growing conversation around election integrity will back them into a corner on this issue in the near-term. We simply cannot afford to be behind the curve on voting security. To that end, I think machine learning could offer interesting solutions from a data security perspective. I would hope that an company as important as ES&S will not have to sacrifice innovation for control in the long-term.
Thanks for sharing. Super interesting read. One thing that came to mind for me while reading was whether or 3D-printing poses a risk of compromised quality in the long-term. Despite the significant cost savings, do you think there are stakeholders who would be resistant to change? You also mentioned continuous education on additive manufacturing equipment. I think this is an incredibly important point. I’m curious to know whether or not this training would be best applied to “specialists” who would directly engage with the equipment, or to all personnel on the base who may interact with the equipment. The IP security concerns are valid and should be further debated. In terms of cyber-attacks, I think the individuals responsible for additive manufacturing innovations in the military will need to be closely connected to those working on machine learning efforts from a defense standpoint.
Thanks for sharing, Nancy! I enjoyed reading this. I think one way in that San José and Mayor Liccardo can think about managing open innovation for smart city development at scale is to share these best practices with the US Conference of Mayors. As the potential for smart cities and public-private partnerships continues to grow, it will be important to coordinate with leaders of other smart-city initiatives to maximize influence secure buy-in across constituencies. I agree that a community-driven approach is the best one to take when thinking about sourcing new ideas. MOTI could also consider the potential for open innovation in partnership with academic institutions to develop new ideas for smart-city solutions.