post

B2B product management

Artificial Intelligence (AI) & Machine Learning (ML)

Building Product Teams

Business Strategy

Data Driven Product Management

Digital Transformation

Diversity and Inclusion

Minimum Viable Product

OKRs

Prioritisation

Product Design

Product Research

Product Development Process

Product Ethics

Product Discovery

Product Leadership

Product Management Career

Product Strategy

Stakeholder Management

🌎 <a href="https://www.mindtheproduct.com/world-product-day/" style="color:#FFFFFF;text-decoration:underline;">Happy World Product Day!</a> Be sure to celebrate product, yourself, and your peers today! 🎉

What to do when it’s time to pivot in product: Lessons from Bumble

Clarity: The key to product success – Arne Kittler (Product Leadership Sidekick, Product at Heart)

Ditch the PRD template and embrace the PRD checklist

Product management books to read this summer and beyond

Bridging the gap between data, product, and analytics 

Footer About

Footer Contribute

Footer Get Involved

Footer Links

Mind the Product

Podcast

Why can’t we get accessibility right? Claire Bauden (SVP Global Product Design, Global Payments Inc.)

Guest Post

What it means to be a product manager in the pharmaceutical industry 

Eira is an editor for Mind the Product. She's been a business journalist, editor, and copywriter for longer than she cares to think about.

Eira Hayward

This week’s Sunday Rewind harks back to 2020 and a short series Mind the Product produced on the risks associated with predictive tech, and potential routes forward for product people as they consider how to deal with the ethical issues associated with designing products.
It examines the waning trust in tech companies in the wake of poor performance by predictive tech and the industry’s apparent inability to govern itself. There’s a robust body of evidence to suggest that, of all business variables, trust has the most disproportionate impact on the bottom line.
Product people need to put themselves front and centre in the search for trustworthiness. They can be an immensely powerful and influential community in the ethics debate because they get to decide what a product ends up looking like. One commentator also observes that ethics issues are magnified in AI because of the application of heavy-duty maths that lay people don’t understand and the use of data as an approximation for the real world.
There’s an increase in interest from tech companies in developing codes of ethics or ethics frameworks, but typically most organisations have a lacklustre approach to ethics.
The article finishes with a look at what product managers can do to get started in what is a big and often overwhelming topic:-
Don’t reinvent the wheel &#8211; Look at what philosophers and ethics practitioners have said about the use of technology and its role in society.
Marshal grassroots support &#8211; In general, people want to behave in an ethical way, and to do good, so getting support should not be difficult.
Review how you handle data &#8211; You’ll probably see opportunities to do things in a more ethical and inclusive way.
Codify your standards &#8211; There are a number of published frameworks that companies can use to help put their ethics guidelines into practice
Read the original article: <a href="https://www.mindtheproduct.com/predictive-tech-and-data-ethics-part-1-the-pros-and-cons/" target="_blank" rel="noopener">Predictive tech and data ethics: Part 1 – the pros and cons</a>
<div class="g g-21"><div class="g-single a-170"><a class="gofollow" data-track="MTcwLDIxLDEsNjA=" href="https://www.pendo.io/pendomonium/"><img decoding="async" src="https://www.mindtheproduct.com/wp-content/uploads/2024/06/MTP-Footer_ad.png" /></a></div></div>

core/freeform

The future of product management: Insights from ProductTank San Francisco

Product lessons learned making early moves with AI in media: Lindsey Jayne (CPO, Financial Times)

A year with ChatGPT and product innovation: Navigating the AI landscape

How to keep your head about generative AI (when everyone is losing theirs) by Claire Woodcock

What we get wrong about technology by Tim Harford

Product management in the age of ChatGPT by Yana Welinder

How Canva uses AI-powered features to drive PLG

The role of an AI product manager by Hiroki Nakamura

A gentle introduction to AI in product by Rand Hindi

Metrics don’t have all the answers: a human-centered approach to business strategy by Samihah Azim

SUNDAY REWIND: Predictive tech and data ethics: Part 1 – the pros and cons

ProductTank Valletta

ProductTank Philadelphia

ProductTank Palo Alto

ProductTank Tauranga

ProductTank Buenos Aires

ProductTank Pune

ProductTank Sydney

ProductTank Hamburg

ProductTank Exeter

ProductTank São Paulo

ProductTank Auckland

ProductTank Bratislava

ProductTank Brighton

ProductTank Santiago

ProductTank Tokyo

ProductTank Chicago

ProductTank Helsinki

ProductTank Berlin

ProductTank Belfast

ProductTank San Francisco

ProductTank Copenhagen

ProductTank Rotterdam

ProductTank Montréal

ProductTank New York

ProductTank Orlando

ProductTank Seattle

ProductTank Bielefeld

ProductTank Köln

ProductTank München

ProductTank Bangkok

ProductTank Edinburgh

ProductTank Los Angeles

ProductTank Bristol

ProductTank Norwich

ProductTank Brno

ProductTank Barcelona

ProductTank Bucharest

ProductTank Pittsburgh

#mtpcon @ Pendomonium

SUNDAY REWIND: Predictive tech and data ethics: Part 1 – the pros and cons

Eira Hayward

Comments

Read next