Building Trust – Is Honesty Always the Best Policy?

When we were little kids, we were taught that we should always tell the truth. Never lie, that’s not the right thing to do! Nobody will trust what you say.

Always telling the truth sounds great on the surface, but as we grow up we learn that things are not always so black and white. Brutal, raw, honesty can hurt feelings. It can expose others to criticisms. It can burn relationships. It can share information that we weren’t allowed to share. So is honesty really the best policy?

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Soul in the Machine – Can we avoid the Google Duplex outrage in Conversational AI development?

This is Part 5 in the Soul in the Machine series.

In the Soul in the Machine series, I will be delving into our collective responsibility to ensure that computing systems are treating users fairly and responsibly. Specifically, I will be raising the ethical questions around current trends such as data privacy regulations and machine learning capabilities.

Right now, in Part 5, we are going to look at some reactions to conversational AI technologies, Responsible AI, and the line between CAN and SHOULD.

Should we build this?

In a previous article, I highlighted the need for teams to stop and ask if they SHOULD be doing something. Let us take an example from Google Duplex.

In this demo from Google, the caller was the AI, but honestly, it could easily have been the restaurant answering with an AI. There is another example of Google Duplex where the assistant books a hairdresser appointment, and others where it can handle interruptions and resume the conversation.

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Soul in the Machine – Combatting Unconscious Bias

This is Part 4 in the Soul in the Machine series.

In the Soul in the Machine series, I will be delving into our collective responsibility to ensure that computing systems are treating users fairly and responsibly. Specifically, I will be raising the ethical questions around current trends such as data privacy regulations and machine learning capabilities.

Right now, in Part 4, we are going to look at building a diverse team capable of implementing ethical AI and ML solutions. How do we ensure that the culture of integrity we are working so hard to support leads to fair results in our machine learning? How can we be conscious about battling unconscious bias in the solutions we develop?

Two heads are better than one

Building up the culture of integrity in an organization allows us to start asking questions about what we’re doing, and how we’re doing it, but a critical step is building a team that is capable of seeing WHEN these questions need to be asked.

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Soul in the Machine – Top AI/ML Orgs and Unconscious Bias

This is Part 3 in the Soul in the Machine series.

In the Soul in the Machine series, I will be delving into our collective responsibility to ensure that computing systems are treating users fairly and responsibly. Specifically, I will be raising the ethical questions around current trends such as data privacy regulations and machine learning capabilities.

Right now, in Part 3, we are going to quickly look at the top organizations that are investing in the development of Artificial Intelligence, Machine Learning, and Deep Learning.

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Soul in the Machine – Building with Integrity

This is Part 2 in the Soul in the Machine series.

In the Soul in the Machine series, I will be delving into our collective responsibility to ensure that computing systems are treating users fairly and responsibly. Specifically, I will be raising the ethical questions around current trends such as data privacy regulations and machine learning capabilities.

Right now, in Part 2, we are going to examine the challenge of introducing a culture of integrity in the digital space and how we can take responsibility for ensuring teams are ready to face the challenge, particularly when dealing with machine learning and artificial intelligence.

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Soul in the Machine – Benevolent Guardians of Personal Data

This is Part 1 in the Soul in the Machine series.

In the Soul in the Machine series, I will be delving into our collective responsibility to ensure that computing systems are treating users fairly and responsibly. Specifically, I will be raising the ethical questions around current trends such as data privacy regulations and machine learning capabilities.

Right now, in Part 1, we are going to journey together into the recent GDPR legislation and how we as technologists and marketers need to re-examine our traditional approaches to personal data!

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