Man and algorithms
IMAGE: Leo Blanchette?—?123RF

Man and algorithms

A article in MIT Technology Review, "Your best teammate might someday be an algorithm", prompts thoughts about the balance between machines developing more and more capabilities that will doubtless take away many jobs, and my own vision of my work, which is increasingly improved by the use of such technologies.

Frankly, I’ve never been too afraid that an algorithm will take away my job. In large part that is because I am fortunate enough to work in an area that for the moment does not appear to be in danger of being taken over by robots, along with the total flexibility that the institution I work for gives me, but I have always thought that if education were revolutionized by technology, I would always be able to study it and explain it to someone who could add value to it.

Thus, algorithmic tool development focused on collaboration makes me wonder what things I would be able to do when some of the parts of my work I least like and that add less value can be carried out by algorithms that will be increasingly easier to develop and educate thanks to simpler tools.

We are increasingly surrounded by tools that make work and our personal lives easier. That said, we are still a long way from the full automation of many tasks and that require what we might call a human touch, meaning they fail to perform at the required level of performance.

For many years, automation has been a way to replicate processes in an identical and predictable way, an approach that has its limitations. Introducing into these algorithms steps that replicate at certain points human judgment based on previously generated data would allow us to create much more powerful automation based on a range of parameters that would add value. Until recently, separating spam from email was a tiresome manual task. Now, practically nothing escapes the algorithm and there is virtually no need to check our spam folder. The same applies to a thousand other things.

Many of the tasks I carry out throughout the day require human attributes. But many are more mechanical and repetitive and would clearly benefit from algorithmic attention. Before robots steal our jobs, we will see many other cases of algorithmic development that will increase automation way beyond today’s levels, and applied to tasks that while not completely repetitive, certainly seem so, and that will enhance our capabilities while freeing up time for other tasks. In many cases, by the time algorithms and robots are able to do our work, we will already be doing different jobs, following previous examples in history, and that seem to me more constructive and logical. The more algorithms I see, the more I want to work with them, to apply them to my daily activities, and enhance my abilities as a human being.



(En espa?ol, aquí)



Did you know that the word 'algorithm' derived from the name of a mathematician who lived in Central Asia in the 9-th century AD. His name was Muhammad Al-Khwarizmi. Khwarezm is the name of the region in modern-day Uzbekistan.

回复
Rhordon B.

Solicitor at Gosford Family Law

6 年

Stephen Hawking warns against this but for balance: increased productivity = expanding economy = increase GDP = higher standard of living for all Australians.

回复
HABIB Laidouni

Research & Development Manager @ Decima Technologies ??Privacy Constructor?? ??Tech Priest ?? Butlerian Jihad ?? Net Lord ??

6 年

Must not forget that #algorithm was invented by an arab man #alkhawarizmi !

回复
Karen Olenski, MBA

Evangelize + Digital + Strategy = $ Results $

6 年

#Moneyball

回复

要查看或添加评论,请登录

Enrique Dans的更多文章

  • El desastre del software y la automoción

    El desastre del software y la automoción

    GM se ve obligada a detener temporalmente las ventas de su Chevy Blazer EV después de detectar un sinnúmero de…

    11 条评论
  • El enésimo drama de la automoción tradicional: la interfaz

    El enésimo drama de la automoción tradicional: la interfaz

    Porsche acaba de anunciar que se une a toda la legión de empresas de automoción tradicionales y renuncia a tener una…

  • Poniendo a prueba a ChatGPT: consultores centauros o cyborgs

    Poniendo a prueba a ChatGPT: consultores centauros o cyborgs

    Un working paper de Harvard, ?Navigating the jagged technological frontier: field experimental evidence of the effects…

    12 条评论
  • Suscripciones, tramos… y spam

    Suscripciones, tramos… y spam

    Elon Musk confirma sus intenciones de convertir la antigua Twitter, ahora X, en un complejo entramado de suscripciones…

  • El código abierto y sus límites

    El código abierto y sus límites

    Sin duda, el código abierto es la forma más ventajosa de crear software: cuando un proyecto de software toma la forma…

  • La gran expansión china

    La gran expansión china

    El ranking de apps más descargadas en el mundo en iOS y Android para el mes de septiembre de 2023 elaborado por…

    1 条评论
  • Starlink y las torres de telefonía en el espacio

    Starlink y las torres de telefonía en el espacio

    Starlink remodela su página web y a?ade una oferta de internet, voz y datos para smartphones provistos de conectividad…

    3 条评论
  • La fotografía con trampa

    La fotografía con trampa

    La presentación de los nuevos smartphones de Google, Pixel 8 y Pixel 8 Pro, y fundamentalmente de las funcionalidades…

  • Las consecuencias de reprimir los procesos de innovación

    Las consecuencias de reprimir los procesos de innovación

    Mi columna de esta semana en Invertia se titula ?El mercado de trabajo y la innovación? (pdf), y previene sobre los…

  • We are on the verge of the most dangerous election in history

    We are on the verge of the most dangerous election in history

    In just a few days, on November 3rd, the US presidential elections will take place, the most dangerous in history, and…

    2 条评论

社区洞察

其他会员也浏览了