SCS Magazine 2021 Issue 2

Page 17

The Magazine of the Singapore Computer Society

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POWER BOOST

15

Human-Computer Relationships: Should Trust Be Given or Earned? For as long as computers existed, applying them in any practical way required some technical skills. Training is often required even for simple applications like Word and Excel. But what if you could simply tell the computer what you need, and your electronic companion would do the rest?

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• A songwriter uploads a chord n fact, the recent wave of AI is progression to a musical algorithm doing exactly that. It is capable of which arranges the tune in seconds. interpreting natural human expression The songwriter tweaks the melody as well as translating it into code and further. After some improvisation back. Will this development change the with the computer, a song which importance of creative skills vis-à-vis could easily blend into many Spotify programming? And can we trust a playlists is recorded. computer with so much creative power and agency? • A painter doodles a sketch and lets the algorithm extrapolate it into a SYNERGY HAPPENS WHEN complete painting. He adds more THERE’S TRUST details to refine the artwork. He can While solutions such as no-code visual also ask the machine to animate the programming made building new drawing and turn it into a cartoon, if software simpler, some amount of he wants. technical savvy was still required. New algorithms however, which can translate natural expression into code, have changed the playing field in a more profound way. Here are some examples: • A designer outlines a video game in simple English in a text editor – or verbally (since the AI engine can recognise speech). The AI engine translates that into code. Soon, a game similar to Space Invaders emerges as the designer continues to describe the playing rules.

VLADYSLAV KOSHELYEV Member, SCS Academy Lead, Facebook Founder, The Koshelyev Company

TRUST BRINGS OUT LATENT POTENTIAL Look at these scenarios as the start of a sharply accelerating trend, and it becomes hard not to be excited about the power AI puts in the hands of creators, entrepreneurs and visionaries. As this technology matures, writers and designers, painters and musicians, philosophers and lawyers will foreseeably become as important as the engineers who build these tools. LACK OF TRUST SEEDS DOUBTS Over time, we can expect the AI to increasingly interpret ideas at a higher level of abstraction, and offer innovative solutions and tools – even beyond human comprehension. Trust becomes a paramount concern against this backdrop. Is the app built by your AI free from backdoors? Is the strategy designed by the algorithmic analyst really good for your organisation in the long run? How about the software that built that app, which coincidentally was also developed by an AI? ONLY HUMANS CAN GIVE TRUST It is fair to say that we do not have all the answers. Perhaps, we will keep humans in the loop for as long as we can. Possibly, we will use AI auditors to check their developer counterparts for irregularities. Regardless of the future solutions, it is clear that for this new generation of tools to reach its potential, we will need to trust them in the same way we trust any other complex technology – such as the bridge will not fall when we cross it, or the car will stop when we step on the brakes. We are entering the age of human-computer interaction – and trust is the fundamental human quality that will determine its course.


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