Artificial Intelligence (AI) has rapidly evolved over the past few decades, becoming an integral part of our daily lives. From enhancing the capabilities of our smartphones to revolutionizing industries such as healthcare, finance, and transportation, AI technologies hold immense potential. But is AI a hero or a villain? This question sparks endless debates as we witness AI driving breakthroughs in medicine and art, while also enabling unsettling phenomena like deepfake videos.

As with any powerful tool, the impact of AI largely depends on how it is applied. People often ask me to share my thoughts on AI’s impact on our society. I firmly believe that there is no bad technology, only good and bad applications of technology. Earlier today, I came across two representative examples that perfectly illustrate this point.

First, I read an article on The Verge about Scarlett Johansson‘s call for a deepfake ban after an AI-generated video featuring her went viral. It’s concerning that such fake, AI-generated videos are allowed to circulate, undermining trust and ethical standards. This is a prime example of groundbreaking technology being used irresponsibly, leading to harmful consequences. I am not commenting on whether I agree/disagree with the message the creators are trying to convey. Faking a message is NOT the way to accomplish one’s goals.

Later in the day, during a break, I decided to watch the latest episode of Veritasium, one of my favorite YouTube channels. “The Most Useful Thing AI Has Done” episode discusses the use of AI to discover the structure of proteins and, ultimately, to design new proteins. It dives into the history of the CASP competition, David Baker’s (University of Washington) Rosetta@Home program in the 90s (to which I contributed back then), his subsequent game, and then DeepMind’s remarkable contributions. This episode showcases how AI, when used responsibly, can drive transformative progress in science and medicine. I highly recommend checking it out.

AI technologies are neither inherently good nor bad; their impact depends on how they are applied. When used responsibly and ethically, AI has the potential to drive significant positive change across our lives. However, the misuse of AI can lead to harmful consequences, highlighting the need for clear regulations, ethical guidelines, and ongoing dialogue about its responsible use.

By focusing on the good applications of AI and addressing the challenges posed by its misuse, we can harness the full potential of this powerful tool for the benefit of humanity. As we stand at the crossroads of AI’s evolution, the question remains: How will we ensure this powerful tool is wielded responsibly for the good of humanity.

Savas Parastatidis

Savas Parastatidis works at Amazon as a Sr. Principal Engineer in Alexa AI'. Previously, he worked at Microsoft where he co-founded Cortana and led the effort as the team's architect. While at Microsoft, Savas also worked on distributed data storage and high-performance data processing technologies. He was involved in various e-Science projects while at Microsoft Research where he also investigated technologies related to knowledge representation & reasoning. Savas also worked on language understanding technologies at Facebook. Prior to joining Microsoft, Savas was a Principal Research Associate at Newcastle University where he undertook research in the areas of distributed, service-oriented computing and e-Science. He was also the Chief Software Architect at the North-East Regional e-Science Centre where he oversaw the architecture and the application of Web Services technologies for a number of large research projects. Savas worked as a Senior Software Engineer for Hewlett Packard where he co-lead the R&D effort for the industry's Web Service transactions service and protocol. You can find out more about Savas at https://savas.me/about

Recent Posts

The Beginning of CVOYA

There’s a unique energy that comes with starting something new — a blend of excitement,…

3 weeks ago

Enhancements in Graph Model: Dynamic Entities & Full-Text Search

As I continued work on BrainExpanded and its MCP service, I came to realize that…

4 months ago

GraphModel: A .NET Abstraction for Graphs

Just over a month ago, I published "Playing with graphs and Neo4j". Back then, it…

5 months ago

Playing with graphs and neo4j

After my initial implementation of some BrainExpanded-related ideas on top of dgraph using its GraphQL…

6 months ago

A Graph Model DSL

Say hello to the Graph Model Domain Specific Language (GMDSL), created with the help of…

6 months ago

BrainExpanded – Web app and Data Sources

As I wrote in previous posts, the manual recording of memories for BrainExpanded is just…

7 months ago