Ethics in AI

What is Ethics in AI when Technology in itself is neutral? It's more how you use it and what you use it for, like any earlier technology.

So many questions - Data doesn't lie. What is right and what is wrong - the answer will not be the same for two individuals. We need regulation and norms, ethics discussion for Artificial Intelligence, Robotics and so on. Why? To prevent misuse, and mistakes, unwanted outcomes, lack of trust, wrong decisions made on bad /corrupted/biased/non validated data and outputs because people and lives will be impacted. It's about human rights, privacy.

AI, machine learning - the dilemmas  

Bias and discrimination: Even if technology is neutral, it will only do what we program (and teach) it to do. Thus, it will be influenced by human and cognitive bias or skewed, incomplete learning data sets. How do we make sure that the use of AI systems does not discriminate in unintended ways? – source: Ericsson blog

 Example: Bad credit analysis data in banking shows that most offenders are male – should we stop giving loans to men? If we automate the decision making, what will happen?

  Autonomous vehicles – critical questions: who does the computer save in a collision: a child, a cat, an old person, a pregnant woman? Instead, will it choose to hit a deer/camel, another car, a truck? - source: Responsible AI by Ericsson

Robots vs humans - simple?

 Robots and virtual assistants: in assistant, helper, police, judge, military role? Would you feel comfortable your rights are being respected and they will be fair and objective? How were they programmed? Who programmed them? Wouldn't you want to know?

Kaplan and Haenlein stress that AI systems are only as smart as the data used to train them since they are, in their essence, nothing more than fancy curve-fitting machines: Using AI to support a court ruling can be highly problematic if past rulings show bias toward certain groups since those biases get formalized and engrained, which makes them even more difficult to spot and to fight against.

We need to ensure validity and representativeness of data and transparency.

Your transformation journey

 How to use data for the good, to improve things, not to mess things up and end up in a chaos or with legal or moral issues? We all want business continuity, customer focus, transformation, growth, to stay relevant and win the game.

We are afraid to make the wrong decisions, get stuck in a vendor lock, lose customers, end up in legal battles, being hacked and having precious, private data compromised or stolen.

We are all human, we are all responsible for the better future with technology

Stay human, stay relevant