◀︎Big Questions
How can we use AI to make things better for humans?
Combining data, design, and machine learning to build intelligent products and services that improve people's lives
We’re using the term ‘augmented intelligence’ as it reflects our focus on enhancing, rather than replacing people’s capabilities through technology.Mike Stringer
IDEO Alum
CASE STUDYMotorola
Crunching Customer Data to Deliver Better Smartphones
Harvard Business Review
What Happens When Data Scientists and Designers Work Together
BLOGOvetta Sampson & Michael Chapman
AI Needs an Ethical Compass. This Tool Can Help.
Data science is a discipline of human-centered design.
When data science, interaction design, and engineering experts come together, we’re able to introduce radically new experiences and systems.Dean Malmgren
IDEO Alum, IDEO Chicago
Fast Co. Design
IDEO’s Plan to Stage an AI Revolution
BLOGDean Malmgren & Jure Martinec
What the AI Products of Tomorrow Might Look Like
Fast Co. Design
IDEO’s AI Machines Explore a Future We May or May Not Want
We have a responsibility to ensure that AI solutions improve human lives, not harm them.
We are repeatedly exploring and defining new ways to ensure that the decisions AI makes are aligned with people’s beliefs and values.Bo Peng
Portfolio Director
CASE STUDYProcter & Gamble
Using Data to Connect Global Teams
BLOGJochen Weber & Tiffany Yuan & Leo Marzolf
Teaching AI to See Our Best Side
Tim Brown for Quartz
How Your “Creative Capacity” is the Key to Surviving Automation
Augmented intelligence elevates human capabilities and experiences.
By focusing on serving people rather than replacing them, we can help them achieve their greatest potential.Justin Massa
IDEO Alum
CASE STUDYRise Science
A Game-Changing Approach to Sleep for Athletes
Justin Massa for Quartz
AI Needs to Earn Our Trust, Just Like Any Human Relationship
BLOGSean Mulholland
The Digital Selves We Leave Behind
David Webster for Quartz
The Next Big Winners in Tech Will Be the Companies That Choose Heart Over Head
Augmented intelligence is based on data that is collected, interpreted, and made meaningful by humans.
Machines might be perfectly consistent in capturing what’s happening—but real value is created when we apply the lens of human-centered design.
CASE STUDYKaplan