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Machine learning is too complex to use #machinelearning #analysis

Sat, 18 Sep 2021 18:03:00 +0000

I work in the insurance industry as a software engineer, and I see that our underwriters and business analysts don't have machine learning tools they can readily use to investigate their own hypotheses related to factor analysis in particular.

Machine learning tools that can provide this kind of analysis are too complex for regular business people to use. As a result, they rely on analytics departments or outside agencies to do this analysis for them. Sometimes, they pay large amounts of money for analysis that they could do themselves if they had tools they understood.

I believe that underwriters, business analysts, small business owners and others should be empowered to use machine learning to do factor analysis, identify potential key performance indicators, and evaluate things like surveys to find relationships in their data.

3 points posted by dmsweetser

Deep Fake video detection #FakeNews #MachineLearning

Mon, 02 Sep 2019 14:17:00 +0000

Deep Fake video is where the facial expression, speech of the person shown in the video aren't real and is computer generated using Machine Learning. This has profound consequences on how we validate the content, accelerating the fake news problem and even affecting the legal system in the countries which accept videos as evidence.

Imagine a video showing leader of a country discussing pre-emptive strike on another country, only that content of the video is not real but an ultra realistic deep fake video, but in the age of confirmation bias; we cannot expect people to validate everything they see or hear (if that was possible, fake news problem wouldn't exist in first place).

There are ethical use cases for deep fake video but there would be no stopping to exploitation of the deep fake tech for nefarious means. Hence there is a need gap for building tools which can be integrated in the systems for validating information.

5 points posted by Abishek Muthian

Deep Fake video generating SW for ethical usage #DeepFake #MachineLearning

Mon, 02 Sep 2019 12:39:00 +0000

Deep Fake video is where the facial expression, speech of the person shown in the video aren't real and is computer generated using Machine Learning. Though the generation of deep fake videos fairly simple with right ML tools and setup, it is not yet available as a commercial grade software; though it may change soon.

There's lot of controversy surrounding deep fake videos for right reasons, as it could accelerate the Fake News/ Misinformation problem, but this need gap is for the ethical usage of deep fake (needs better name?) videos.

Online video consumption is growing at unprecedented rate, people spend inordinate amount of time (6hrs-8hrs/week) watching videos. Traditional content formats such as text, has already fallen out of favour. For someone who cannot indulge in the physical effort of creating videos can only rely upon deep fake video tech to generate video for them when a script is fed to it.

Besides, deep fake videos can save video production cost for all.

5 points posted by Abishek Muthian