Understanding the Fight Against Facial Recognition
The growth of Clearview AI as a startup focusing on facial recognition is momentous. That could be largely linked to their alliance with law enforcement agents that are using the platform widely. While there exists little to no regulation around how this kind of tech is used, that has not stopped business from booming for all the parties involved.
There are outcries against the privacy invasion that comes in the way of facial recognition too. Recently, a hack of the company brought fresh debates to the fore about how safe facial data can be when with keepers like that – and how such data will also be used.
Facial Recognition Isn’t Your Friend
Surveillance has always been a touchy subject. So that the state does not go beyond reasonable means in surveilling an individual, certain laws and regulations were made. This requires that even law enforcement agents obtain permission from the judiciary arm of government before they can put anyone under surveillance.
Even at that, this surveillance has to be proportionate.
None of such moves has been placed around facial recognition. Not on a large scale, at least.
Before the Clearview AI hack was reported, the company admitted to having more than 3 billion faces on record. That is more than a third of everyone on the planet as of this moment. Seeing as many countries have not even heard of the company, that is shocking that they would have that many faces on file.
Official statements from the company claim that it mines data from social media networks and other open-source platforms for its database. In other words, they can collect picture you posted on the internet to populate a database of facial recognition technology. The important part of this business is remembering that all of this is done without your giving them any express permission to take such advantages of your image rights.
Social media platforms like YouTube, Google, and Facebook have already reached out to this company with a cease and desist. That is a laudable move to protect users, but we are just seeing one side of a bad coin. Facebook itself runs in-house facial recognition software which you have to manually turn off.
Recalling how many scandals Facebook has gotten into in the previous decade alone, we do not know if they would honor any privacy requests from the users. Thus, those pictures you removed facial recognition access from could still be in the system for all that we know.
If these systems were as good as they are claimed to be, we might not have much against them. Instead, there is a huge bias against races and women. This is not a basic fault of the technology itself but how it was trained. After all, it can only adapt to the models that it has been trained with, of which there is a gross under-representation of the negatively affected population density.
Such can lead to cases of false positives or negatives. Depending on how you look at it and the prevalent situation, it is never good news.
Where Do We Go from Here?
San Francisco has banned the widespread use of technology in the city. This is a huge move
from the city that considers itself one of the biggest, if not the biggest, concentrated tech hub in the world. If they cannot make such brazen moves to defend how tech is used, they might as well be a serious part of the problem in the tech space.
Other states and cities are working on similar moves, but they are not working fast enough.
The need for a widespread ban right now is not for the hate of facial tech systems but the lack of a regulatory framework within which it works. If we do not have that, it is just a matter of time before everyone has a facial recognition system of their own and takes stalking to a whole new level.
That is not something we are willing to take. Till things improve, the fight against facial recognition will remain.
With the COVID-19 pandemic, customers are wary of visiting branches. This has really given a booster to digital banking.
Neo banks, also known as Challenger banks or smart banks, are digital banks with no brick-and-mortar physical branches. The Fintech, which does not use legacy banking systems or pre-existing infrastructure, can be qualified as a bona fide Neo bank.
Since a decade, Neo banks are popular in Europe, Japan, the US, and Australia. They have started their operations in India for a few years. It will take some time before they become disruptive and transform the banking landscape. As of now, Neo banks, partner with existing banks because they do not have a banking license.
With no backlogs of legacy systems and out-dated business processes, Neo banks are considered highly flexible and adaptive to new technologies. Thanks to zero overheads of physical branches and manpower in those branches, they have an overall lower cost structure and are able to offer attractive interest rates for deposits and loans both.
Cloud-based Neo banks offer –
- Omnichannel and Immersive customer experience
- Contextual offerings
- 24×7 Customer support using chatbots, AI and ML
- Scalable infrastructure
- Highly automated services like auto reconciliation, regulatory compliance-ready reporting.
- Cash flow forecasting with AL and ML-based predictive alerts
- Meaningful spending insights using AI
- Open banking compliant API
- Automated and digital workflow thereby reducing processing time to a few seconds/minutes
- ML based risk Analyser
- Innovative features like goals-based savings
Normally, Neo banks operate in targeted and un-served segments like
- Tech-savvy millennial
- SME and mass at the bottom of the pyramid who are ready to adapt to new technology to earn little more interest
- Niche banking service like payments, budget, receivables and spend management
- Provide Forex cards, credit cards, personal loans
Some notable Indian players are Open, NiYo, Yono, Kotak 811, PayZello, Instantpay, Yelo, India Post Payment Bank, EzoBank, and Zeta.
These Neo banks are here to stay and grow by leaps and bounds in the coming days. And they are going to disrupt conventional banking as Airbnb, Ola/Uber had disrupted the traditional models.
Approximately $48 trillion is invested in projects annually, but only 35% of these projects are considered successful, according to the Standish Group.
The waste of resources and missed benefits of the remaining 65% are staggering. However, change is on the horizon, as Gartner predicts that by 2030, 80% of project management tasks will be run by AI and big data, machine learning, and natural language processing.
6 Ways AI/ML will Revolutionize Project Management as outlined by Antonio Nieto-Rodriguez:
1️⃣ More Efficient Project Selection and Prioritization
AI and ML can analyze data to determine which projects will bring the greatest value to the organization, exceeding human accuracy in prediction.
2️⃣ Streamlined Project Management Office
Data analytics and automation startups are already supporting organizations in optimizing the role of the project management office (PMO), as seen in President Emmanuel Macron’s use of technology for monitoring French public-sector projects.
3️⃣ Improved Project Planning and Reporting
Big data and ML can help leaders and project managers identify potential risks and suggest mitigating actions, and soon, they will be able to adjust plans automatically to avoid certain risks.
4️⃣ Virtual Project Assistance
In project management, “bots” or virtual assistants like ChatGPT will learn from past data to tailor interactions and capture critical information, such as PMOtto or Oracle’s new project management digital assistant.
5️⃣ Advanced Testing Systems
Advanced testing systems will soon become widely available, enabling early detection of defects and self-correcting processes, reducing the time spent on testing, and delivering bug-free solutions.
6️⃣Evolution of the Project Manager’s Role
With a shift from administrative work, the project manager of the future will need strong leadership skills, strategic thinking, and business acumen. Teams may soon comprise both humans and robots.
These new tools will transform not only the technology of project management but also the work itself.
Integrating artificial intelligence in project management will have a profound impact, not just by automating tedious tasks but more significantly by providing better selection and implementation of projects through AI and other innovative technologies.
Project managers must be ready to guide their teams in this transition by providing the necessary training and support.
#projectmanagers Are you ready to embrace this transformation?
The link for the full article is at https://lnkd.in/dWihDjeT
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It was my pleasure taking a session 📢 for Post-graduate students of the Defense Institute of Advanced Technology (DIAT), DU, DRDO on ‘Resume building’.
I covered different sections in a resume to be included and NOT to be included as well as how to make it an effective resume.
The Resume building session was well-received by the students.
Thanks to Yash Kulkarni and “Centre for Training and Placement, DIAT” for the invitation.
Defense Institute of Advanced Technology (DIAT), DU, DRDO is the premier engineering training institute under the Department Of Defence Research And Development[Edit] & Ministry of Defence of India.
ZERO to ONE – By Peter Thiel
Recently, I again read this international bestseller after a few years. Its really a wonderful book.
As per the author, founders should ask one or more of the following seven questions related to their startup/business. If you don’t have good answers to these questions, you will run into lots of “bad luck” and your startup may fail.
1️⃣ The engineering question
Can you create breakthrough technology instead of incremental improvements?
2️⃣ The timing question
Is now the right time to start your particular business?
3️⃣ The Monopoly question
Are you starting with a big share of a small market?
4️⃣ The people question
Do you have the right team?
5️⃣ The distribution question
Do you have a way to not just create, but deliver your product?
6️⃣ The durability question
Will your market position be defensible 10 and 20 years into the future?
7️⃣The Secret question
Have you identified a unique opportunity that others don’t see?
If you nail all seven, you’ll master fortune and succeed. Even getting five or six correct might work.
Tesla nailed all seven, making it the most valuable company in a short time.
What is your view? Do you have any other points to add that might be secret sauce???