The word innovation often draws to mind images of self-driving cars, new phones, and shiny tech. Yet, innovation often happens behind the scenes, especially in advanced analytics. Around the world, industries like healthcare, government, banking, manufacturing, and more rely on the latest advancements in analytics. At SAS Explore, an event for
I’ve spent the last three months traveling and speaking to business leaders worldwide about trustworthy AI and responsible innovation. On the nights I laid awake in unfamiliar hotel rooms, wishing my body clock would adjust faster than it was, I found joy in watching local television in local languages. While
More digital channels are bringing greater connectivity and more data is bringing added complexity to organizations. All this can feel chaotic or like a fog of information warfare. As a result, the pace of disruption and data expansion require visual tools that accelerate data wrangling and modeling. To overcome complexity,
As head of the SAS Data Ethics Practice, I spend a lot of time contemplating the social implications of AI. Considering its benefits like augmenting medical decisions and pitfalls, making decisions based on biased data results in dire consequences for patients. Such implications have the potential to impact society in a variety
We hear a lot about responsible AI or AI ethics in the marketplace today. At SAS, we believe there should be a larger conversation about responsible innovation. In reality, the decisions made by AI are the outcome of algorithms, data and business processes. This means ethical considerations must be applied
We as a society should actively involve a divers, non-tech-audience into the discussion in the proper usage of AI – it can not be tech experts only discuss what our everyday life is impacting so much already.
In my previous article, “The Vital Ingredients of Responsible AI,” I described the principles that underpin the need to develop AI systems that factor in the human factor, not only contribute to business outcomes but also protect individuals, society and the environment. While it’s difficult to argue with those principles,
In my previous article, “The Business Imperative for Responsible AI," I covered the main business drivers for responsible AI. Beyond the greater good and social responsibility, responsible AI is emerging as a key factor for successful AI adoption. In this article, I will describe the main ingredients of responsible AI:
"Now what? Responsible artificial intelligence (AI)? You're probably going to tell me that this is going to interfere with how I go about AI." Yes, I am. There's a whole list of nations coming up with strategies on AI. Check out this world map where each colored country is having a
Early in the pandemic, we used this blog to offer resources for responding to COVID-19, recovering from the economic losses, and reimagining life after the pandemic. By now, everyone has read about testing, contact tracing, social distancing, treatment protocols and vaccines. Whether or not you have had COVID yourself, all
Since 2015, the number of Americans who to listen to at least one podcast per month has increased by approximately 40 million people. The number of podcast listeners has also ballooned globally in tandem with a rise in smart speaker adoption. People are consuming them at home, on the go
“Bias is not inhuman. To have bias is absolutely human,” says Banu Raghuraman. If data enthusiasts are going to break the cycle of bias, however, “we have to be more aware of where the data is coming from, what it’s trying to tell us and how we can break the
A recent report suggests that the current state of climate change is alarming. Climate change puts billions of people at risk of events like extreme hurricane seasons and rising sea levels. However, data and analytics play a critical role in informing us about the situation, planning ahead, and raising awareness
In this Q&A with MIT/SMR Connections, Iain Brown, SAS’s head of data science for the United Kingdom and Ireland, discusses technical readiness for AI, customer adoption trends, IT’s changing role, and mission-critical considerations for technology and talent. Q: What does it mean, from both a technology and a cultural standpoint,
As organizations increasingly use artificial intelligence to collect and analyze data and identify individuals, the topic of ethical AI often rears its head. Last year, Michigan's Integrated Data Automated System flagged more than 540,000 unemployment claims as possibly fraudulent. Thousands of state residents’ accounts were inaccurately flagged, making it almost
Reasoning frameworks of artificial intelligence used in criminal justice and health care systems move us to rethink how AI can be constructed to help foster an equitable society. We interact daily with algorithms that over time predict and inform our actions. Spam filters in e-mail and real-time mapping technologies on
Having the ability to know what the best decision is in any given scenario sounds like a superpower. What may surprise you is that this “superpower” already exists. SAS calls it intelligent decisioning. Decisioning is a powerful tool in the business world. It is useful to both the company and
Artificial intelligence undoubtedly remains a key trend when it comes to picking the technologies that will change how we live, work and play in the near future. As always, with great power comes great responsibility. There are many benefits that AI solutions bring to the world. But poor design or
Collaboration in the cloud is definitely the next big thing from my perspective for life sciences organisations.
If you want to hear more about Responsible AI, join the virtual conference “Artificial Intelligence & The Ethics Mandate” on March 16th at 11:00 am CET.
A key component to make sure that we develop responsible AI is diversity. This is because an AI application reflects and even amplifies the biases of its developers. As I discussed in my previous post, a diverse team will see things from many different points of view and help to
Artificial intelligence is a powerful force for good and an extraordinary competitive advantage. But, as Peter Parker’s uncle Ben nicely put it, "With great power comes great responsibility.” Or as my friend the Swedish character Pippi Longstocking says, “If you are very strong you must also be very kind!” They
If the digital trust felt by citizens has contributed to the success of many test and trace programmes, the upcoming AI legislation will likely help entrench this trend in the realm of AI.
Organisations also need to ensure diversity when developing assets—those diverse teams that I mentioned before.
