Skip to main content

AI with great power comes responsibility

[PLACEHOLDER]
Image

Generative AI continues to be front and centre of all topics. Companies continue to make an effort for making sense of the technology, investing in their teams, as well as vendors/providers in order to “crack” those use cases that will give them the advantage in this competitive market, and while we are still in this phase of the “AI revolution” where things are still getting sorted.

 

Photo by Google DeepMind on Unsplash

I bet that Uncle Ben’s advise could go beyond Peter Parker, as many of us can make use of that wisdom due to the many things that are currently happening. AI would not be the exception when using this iconic phrase from one of the best comics out there.

Uncle Ben and Peter Parker - Spiderman

A short list of products out there in the space of generated AI:

Text to image

Video Creation

Text to speech

Copywriting

Conversation

Artistic

NLP/chat

Code


I mean, if you think, like me, that IntelliSense was/is cool, then products such as Copilot and Tabnine, will blow your mind, as you get your own “AI pair programmer” providing you with:

  • Suggestions as you code
  • Writing functions based on the comments you provided
  • Creates unit test for the code you wrote

Allowing you to accelerate the velocity of your development team. According to GitHub research, Copilot is a big success, improving focus by 74%. It also made users feel 88% more productive and efficient by automating repetitive tasks by a staggering 96%.

AI is also a game changer for how we are levering the current search engine providers, and how those tools are, and will continue to evolve because of it (Bing is a good example on how they made AI accessible as part of their search offering). This is because now users can perform their searches asking complex questions. In addition, users are able to receive personalized results, as well as receiving direct, and immediate, feedback. 


AI and its challenges

While experiencing all the great use cases and advantages that Generative AI is providing at one’s fingertips, we are also discovering new challenges (or existing ones that have immediately become more complex). Just to mention a few:

  1. Copyright issues,
  2. Lack of accuracy within the suggestions provided by the algorithm,
  3. Cheating the system/processes,
  4. Students submitting papers generated by AI systems,
  5. Candidates utilizing AI for resumes and interviews,
  6. PII data risks

The lawsuit cases appear to be just the beginning:

  • OpenAI, creators of ChatGPT, receives a lawsuit alleging it stole people’s data (for more go to the business Insider article here )
  • “Microsoft and its computer code-sharing website GitHub, as well as artificial intelligence firm OpenAI, are being sued in California. A proposed class-action lawsuit claims the firms’ AI-powered programming tool Copilot infringes copyright by using millions of lines of human-written code without proper attribution. It is the first big copyright lawsuit over AI and potential damages could exceed $9 billion.”
ai-bias-beolle-1

Conclusion

While this AI “hype” that we are experiencing can be exciting for some, scary for others, challenging for a few, as technology has accelerated faster than expected; the reality is that “Generative AI” is among us.
It will be an important aspect to adopt/tackle/leverage by companies, as well as by individuals, and therefore it needs to be used with the proper ethics and responsibility.

Trending posts

Goal setting frameworks for Product Management - OKR and HOSKR

Anonymous
As a business analyst and product manager we often use various frameworks to synthesize and organize our product ideas and goals. I think of frameworks as tools in our product management tool kit which we use depending on the task at hand.  And speaking of goals, OKR is a very popular framework that I often use to set the goals for the products I am managing. However recently I participated the #ProductCon conference hosted by Product School  and I stumbled upon one of the talks in which Rapha Cohen, the CPO at Google Waze introduced a more effective framework for setting product goals. The framework is called HOSKR.  In this post I'll describe both the OKR and HOSKR frameworks in more details using examples. I hope this will provide you, our readers, more practical insights on how to effectively use these frameworks to set your product goals.  OKR OKR stands for O bjectives and K ey R esults. If you are reading this post then you are on our Beolle blog and I am goi...
Read more

Digital Sovereignty in a Polarised World - Data, Cloud Power, and the Search for Trusted Alternatives

 Relationships have deteriorated, with trust diminished to an extent that may preclude restoration. The world, once structured to favour certain regions, has undergone significant shifts; for numerous countries, such advantages never existed. In this polarised reality, stakeholders are re-evaluating alliances, as former partners now often embody the role of "frenemy," thereby threatening freedom. This phenomenon is longstanding, rooted in historical power dynamics. When politics and influence supersede principles of fairness, respect, and integrity, ethical boundaries become blurred. Previously, issues that did not directly affect you would get overlooked out of principle, but current risks necessitate action to safeguard sovereignty. Information has consistently served as a key strategic asset, a trend only intensified by technological advancements that have elevated data as the principal factor. In other words, technology has amplified that, and data is the name of the game...
Read more

Assembling MLOps practice - part 2

 Part I of this series, published in May, discussed the definition of MLOps and outlined the requirements for implementing this practice within an organisation. It also addressed some of the roles necessary within the team to support MLOps. Lego Alike data assembly - Generated with Gemini   This time, we move forward by exploring part of the technical stack that could be an option for implementing MLOps.  Before proceeding, below is a CTA to the first part of the article for reference. Assembling an MLOps Practice - Part 1 ML components are key parts of the ecosystem, supporting the solutions provided to clients. As a result, DevOps and MLOps have become part of the "secret sauce" for success... Take me there Components of your MLOps stack. The MLOps stack optimises the machine learning life-cycle by fostering collaboration across teams, delivering continuous integration and depl...
Read more

AGILE For DIGITAL AGENCIES

Introduction Some Digital agencies have a project process where waterfalls still plays a big part of it, and as far as I can tell, the tech team is usually the one suffering as they are at the last part of the chain left with limited budget and time for execution. I do believe that adopting an Agile approach could make a Digital Agency better and faster. In this article I’m presenting you just another point of view of why it make sense looking at Agile Methodology.  Why Agile for a Digital Agency? The Agile movement started in the software development industry, but it has being proven to be useful in others as well. It becomes handy for the type of business that has changing priorities, changing requirements and flexible deliverables. In the Digital Agency of today you need a different mindset. Creative will always play a huge role (“the bread and butter”). But the “big guys” need to understand that without technology there is no Digital Agency. Technical resources ...
Read more

This blog uses cookies to improve your browsing experience. Simple analytics might be in place for pageviews purposes. They are harmless and never personally identify you.

Agreed