In this special guest feature, Dr. John Bates, CEO of Eggplant, believes that technology can’t be left to the whims of the free markets to determine what works. With regulation, we can build a world where we trust the machines, the data, and the results and we can help avoid a dystopian future. Implementing a bill of rights will ensure AI delivers a positive impact on society now and for decades to come.
Search Results for: ethic
AI Usage in Banking is Forcing the Conversation around the Ethical Use of Data
February 12, 2020 by Leave a Comment
In this contributed article, Lisa Shields, Founder and Chief Executive Officer at FISPAN, dives into the ethical considerations banks must take into account when developing AI, and how they can do so responsibly. With the right business practices in place, banks can reap the benefits of AI while keeping customers in control of their data and protected from its misuse.
Implementing Ethical AI
January 21, 2020 by Leave a Comment
In this special guest feature, R.J. Talyor, Founder and CEO of Pattern89, discusses implementing ethical AI into a company’s business strategy. As AI becomes more common across multiple industries, so do the ethical questions surrounding its creation, transparency and bias. It measures what a human tells it to measure, aggregating a lifetime of knowledge based on a human directive. So, if that human directive is biased, the AI is biased and will learn more through that biased lens.
What do the EU’s ethical guidelines for AI mean for American companies?
December 14, 2019 by Leave a Comment
In this special guest feature, Agustin Huerta, VP of Technology at Globant, takes a look at how the EU’s AI guidelines will impact organizations’ technology practices. Will the guidelines be effective? How will this ethical framework impact enterprises in the U.S.? And more importantly, how should enterprise leaders respond?
Ethical AI: Five Guiding Pillars
December 11, 2019 by Leave a Comment
This new white paper addresses the fact that today’s leaders are faced with a true conundrum: how can the enterprise benefit from new opportunities created through artificial intelligence while still safeguarding the well-being of employees, customers and society?
To help guide leaders through this paradox, which is growing ever-more complicated and relevant, KPMG has identified five proposed actions organizational leaders can take to create an ethical enterprise and sustain it into the future through governance and control of AI.
Ethical AI: Five Guiding Pillars
December 6, 2019 by Leave a Comment
Corporate responsibility is not a new mission, but it has become a more complicated one as machine learning assumes a larger role in how work is done. This 20 page white paper provides five actionable ways organizations can re-imagine business models around ethical AI, according to KPMG.
Data without Borders: How Synthesis Enables Ethical Sharing
September 4, 2019 by Leave a Comment
In this special guest feature, Mike Capps, CEO of Diveplane, discusses why organizations should consider synthesizing their data, what that process entails, what the benefits and use cases of synthesized data are and why he believes synthesized data is the key to not only a successful data/AI project, but also to a successful data-driven future.
How Companies Can be Ethical with AI
August 1, 2019 by Leave a Comment
One big question in the industry these days is about the safeguards companies can take to ensure their AI is fair and ethical. Stakeholders are trying to determine how enterprises can ensure that their employees, investors and customers trust their AI technology. With AI advancing at the incredible rate that it is and being applied to diverse use cases such as criminal detection, this is an important and timely topic.
Organizations Must Address Ethics in AI to Gain Public’s Trust and Loyalty
July 25, 2019 by Leave a Comment
The ethical use of AI is becoming fundamental to winning people’s trust, a new study from the Capgemini Research Institute has found. As organizations progress to harness the benefits of AI, consumers, employees and citizens are watching closely and are ready to reward or punish behavior. Those surveyed said that they would be more loyal to, purchase more from, or be an advocate for organizations whose AI interactions are deemed ethical.
Before We Argue About Ethics, Models Need Transparency
July 11, 2019 by Leave a Comment
In this special guest feature, Pedro Alves, CEO, and Rick Saletta, Senior Marketing Executive of Ople, discuss how model transparency is an essential capability. It facilitates the jobs of a data science team, while helping bring models’ end users to better comprehension of and comfort with the decisions driven by those models. Transparent AI is an absolute requirement for a proper AI implementation within an organization, as well as the key to ensuring a more meaningful ethical perspective as AI is woven into our everyday lives.
