The Laws Of Technology

An ocean of data is now managed by powerful technology that was unimaginable a couple of decades before. Visionary men coined 'tech' laws half a century ago that is relevant even now.

  • Moore’s Law states that computing power, that is the number of transistor circuits in each computer ‘chip’, doubles every two years.
  • Nielsen's Law states that internet bandwidth increases by about 50 percent every year for high-end users.

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How to make sure that AI isn’t invasive and creepy

fastcompany.com

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The Fear Of AI

AI(Artificial Intelligence) has got a bad rep, mostly coming from movies(The Matrix, for instance) or news articles demonizing AI’s reach and scope, stoking fears ranging from privacy invasion to space wars.

AI, and technology itself, is a double-edged sword having the capacity to either overwhelm and overpower us or be a defence mechanism for the looming future threats, depending on how we use it.

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Facial recognition, having gone mainstream due to iPhones, helps everyday life in numerous ways like unlocking phones or verifying purchases. Millions of facial images can be harnessed by powerful AI algorithms to locate a missing person or a criminal suspect in a few minutes.

Just like any tool, facial recognition technology can be used for nefarious purposes, like tracking anyone easily.

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To make AI(Artificial Intelligence) work safely and securely, it should be assistive, and not act like a master. It should be helping us save time, effort, energy and resources, and not become an all-powerful entity like in many Sci-Fi movies.

The right human guidance is needed to make AI act as a positive force on human progress.

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AI(Artificial Intelligence) can learn from experience and by processing new data sets, unlike traditional computers who are not programmed to self-educate themselves. Modern AI can sift through vast amounts of data to pull out the exact search result, even express uncertainty or confusion, and filter out data that is too personal.

AI can act as a ‘failsafe’ to counter common errors we make, and cancel out the ‘human’ factors affecting decision making like bias, lack of attention, fatigue or emotion.

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Building ethical AI

Companies are leveraging data and artificial intelligence to create scalable solutions — but they’re also scaling their reputational, regulatory, and legal risks. For instance, Los Angeles is suing IBM for allegedly misappropriating data it collected with its ubiquitous weather app. Optum is being investigated by regulators for creating an algorithm that allegedly recommended that doctors and nurses pay more attention to white patients than to sicker black patients. Goldman Sachs is being investigated by regulators for using an AI algorithm that allegedly discriminated against women by granting larger credit limits to men than women on their Apple cards. Facebook infamously granted Cambridge Analytica, a political firm, access to the personal data of more than 50 million users.

Just a few years ago discussions of “data ethics” and “AI ethics” were reserved for nonprofit organizations and academics. Today the biggest tech companies in the world — Microsoft, Facebook, Twitter, Google, and more — are putting together fast-growing teams to tackle the ethical problems that arise from the widespread collection, analysis, and use of massive troves of data, particularly when that data is used to train machine learning models, aka AI.

AI and Equality
  • Designing systems that are fair for all.

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A Practical Guide to Building Ethical AI

hbr.org

<p dir="ltr">Content marketing...

Content marketing is the most effective marketing strategy . And there is always a competition to write better content, be more creative, and be more engaging. But in this new digital era, can be used in content creation. As you know, evolved into more than simply a futuristic technology. There’s a high possibility you’re already experimenting with , no matter what field you work in. Let’s face it, is everywhere, whether it’s deploying chatbots to collect data about your users’ most urgent concerns or assessing content results with platforms.

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How Artificial Intelligence (AI) Helps Content Creation?

swisscognitive.ch

All companies will need to become “AI companies”

... so they can leverage the considerable benefits to be gained through greater knowledge of their customers, explore new markets, and counteract new, AI-driven companies that might seek their market share.

To extract the benefits from AI while mitigating the risks, companies must ensure that they are sufficiently agile so they can adopt best practices to create responsible transformation with AI.

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Building an Organizational Approach to Responsible AI

sloanreview.mit.edu