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Search Results for: ethic

AI Solving Real-world Problems and AI Ethics Among Top Trends for 2021, According to Oxylabs’ AI and ML Advisory Board

The ongoing impact of Covid-19 is still affecting organizations nearly a year since the pandemic began, with business leaders continuing to leverage technology in order to navigate the crisis. According to Oxylabs’ dedicated AI and ML advisory board, some of the most important trends in 2021 will include the increased use of ethical AI for diversity, accountability, and model explainability, alongside increased instances of AI solving challenging real-world problems.

Interview: Kathy Baxter, Architect of Ethical AI Practice at Salesforce

I recently caught up with Kathy Baxter, one of the elite AI ethicists in the world and Salesforce’s Principal Architect of Ethical AI, to discuss the good, the bad and the ugly of ethical data collection. Kathy comments on the current issues and challenges that enterprises are facing when it comes to data collection and why getting it wrong will prove catastrophic.

AI and Ethics: The Path Forward

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.

AI Usage in Banking is Forcing the Conversation around the Ethical Use of Data

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

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?

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

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

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

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

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.