We encode our biases into everything we create: books, poems, and AI. What does that means for an increasingly automated future?
- AI isn't "just technology," says Professor Ramesh Srinivasan. We have to bust the myth that AI is neutral and has no biases. We encode our biases into artificial intelligence. That fact will become more apparent as 5G 'smart cities' become a reality.
- Business leaders must develop awareness and ask themselves: What are the data sets my technologies are learning from and what are the values that are influencing the development of these technologies?
- The American public, across every demographic and both sides of the aisle, supports doing something about big technology issues that are creating an unequal future, says Srinivasan. We are at an inflection point, and good AI is possible if tech leaders act on these issues.
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This is what you need to do to keep up with today's digital progress.
- Amazon has set aside $700 million to retrain 100,000 of its employees. That's an incredible thing—a company that is already at the forefront of tech is helping its employees catch up. What does that mean for the rest of us?
- Developing digital literacy in your organization's workforce is of utmost importance. How will companies stay ahead of the competition if they don't understand how emerging technologies, like blockchain, can be implemented?
- "Stay current" should become an organizational motto; it's about the disciplined pursued of understanding how technology can change the work you're doing today.
With teamwork and clearly-stated goals, big transformations can take place — swiftly.
- In terms of programming, the year 2000 was perhaps the biggest digital change to date across the world. The reason for this is because, in the years before, two digits were allocated to computing related to the year. With 2000, three had to be allocated.
- Programmers around the world came together and successfully drove the Y2K conversion. The freedom they were given by politicians, who didn't entirely understand the problem, gave programmers the space they needed to make the changes expediently.
- When goals are clearly stated—in this case, December 31, 1999—people understand that there is a deadline on when they have to be done with their work before bad things happen. As a result of the teamwork operating under a clearly stated goal, there were no major catastrophes when the new year rolled in.