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.
These three tactics will help you focus on the task at hand.
- Technology and devices aren't inherently distracting, says behavioral design expert Nir Eyal. Distraction comes from internal triggers of discomfort.
- So, the answer to avoiding distraction isn't a total digital detox, but instead developing healthy ways of identifying and coping with these internal triggers.
- Eyal points to three main strategies: reimagining the trigger as a sensation of curiosity, reimagining the task itself, and avoiding self-limiting beliefs regarding your temperament.
"One way the internet distorts our picture of ourselves is by feeding the human tendency to overestimate our knowledge of how the world works," writes philosophy professor Michael Patrick Lynch.
- Social media echo chambers have made us overconfident in our knowledge and abilities.
- Social psychologists have shown that publicly committing to an opinion makes you less willing to change your mind.
- To avoid a descent into epistemic arrogance and tribalism, we need to use social media with deep humility.
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