The Science of AI and the Art of Social Responsibility

The @HuffingtonPost take a look at the science of #AI and the art of social responsibility:

  • But the transformational nature of artificial intelligence requires new metrics of success for our profession.
  • This year alone at least 1 billion people will be touched in some way by artificial intelligence, which is transforming everything from financial services to transportation, energy, education and retail.
  • And why IBM is a founding member of the Partnership on AI, a collaboration among Google, Amazon, Facebook, Microsoft, Apple and many scientific and nonprofit organizations charged with guiding the development of artificial intelligence to the benefit of society.
  • Opportunity: Developers of AI applications should accept the responsibility of enabling students, workers and citizens to take advantage of every opportunity in the new economy powered by cognitive systems.
  • They should help them acquire the skills and knowledge to engage safely, securely and effectively in a relationship with cognitive systems, and to perform the new kinds of work and jobs that will emerge in a cognitive economy.

By Guru Banavar, IBM’s Chief Science Officer for Cognitive Computing
I am a computer scientist and engineer, inspired by the art of the possible an…

@IBMWatson: The @HuffingtonPost take a look at the science of #AI and the art of social responsibility:

But the transformational nature of artificial intelligence requires new metrics of success for our profession. It is no longer enough to advance the science of AI and the engineering of AI-based systems. We now shoulder the added burden of ensuring these technologies are developed, deployed and adopted in responsible, ethical and enduring ways.

That impact will be significant. This year alone at least 1 billion people will be touched in some way by artificial intelligence, which is transforming everything from financial services to transportation, energy, education and retail. In healthcare alone, IBM Watson is engaged in serious efforts to help radiologists identify markers of disease; to help oncologists identify personalized treatments for cancer patients; and to help neuroscientists identify genetic links to diseases like ALS, paving the way for advanced drug discovery.

This is a profound and daunting responsibility. And it would be easy for us to bury our heads in our work, to retreat to our areas of expertise, our comfort zones. But that is simply not an option. Because the work we do now lives at the intersection of science and society. Therefore, we must engage with the messiness of the real world.

That is why we have engaged with a broad coalition of partners and ethics experts to inform our work. And why IBM is a founding member of the Partnership on AI, a collaboration among Google, Amazon, Facebook, Microsoft, Apple and many scientific and nonprofit organizations charged with guiding the development of artificial intelligence to the benefit of society.

Opportunity: Developers of AI applications should accept the responsibility of enabling students, workers and citizens to take advantage of every opportunity in the new economy powered by cognitive systems. They should help them acquire the skills and knowledge to engage safely, securely and effectively in a relationship with cognitive systems, and to perform the new kinds of work and jobs that will emerge in a cognitive economy.

Finally, we are thinking about how we can empower all users with this technology, especially users who are not technically inclined. How can we ensure that these solutions augment their skills rather than obviate them? How can we build training into the solutions themselves, so that the user and AI can evolve together?

These are difficult questions. They force us to stretch our thinking and speculate. But we didn’t go into this field because it was the easy thing to do. I’m confident that if we take these matters seriously, and let these questions guide our actions, it will lead to stronger, better products. It will even lead to artificial intelligence that benefits all of humanity. And that is a metric for success on which we all can agree.

The Science of AI and the Art of Social Responsibility