A new IBM (NYSE: IBM) Institute for Business Value (IBV) study revealed a radical shift in the roles responsible for leading and upholding AI ethics at an organization. When asked which function is primarily accountable for AI ethics, 80% of respondents pointed to a non-technical executive, such as a CEO, as the primary “champion” for AI ethics, a sharp uptick from 15% in 2018.
anch.AI, former AI Sustainability Center, Secures $2.1M in Seed Funding to Launch Ethical AI Governance Platform
January 26, 2022 by
Against the rising tide of regulation, anch.AI has released the first horizontally integrated ethical AI governance platform, a one-stop shop for businesses to accelerate responsible AI adoption across their organization. The B2B SaaS startup emerged from the AI Sustainability Center, a Swedish think tank, and has secured $2.1M in seed funding to further develop and launch their pioneering risk assessment platform.
AI Solving Real-world Problems and AI Ethics Among Top Trends for 2021, According to Oxylabs’ AI and ML Advisory Board
February 5, 2021 by
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
January 12, 2021 by
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 Usage in Banking is Forcing the Conversation around the Ethical Use of Data
February 12, 2020 by
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.
Ethical AI: Five Guiding Pillars
December 11, 2019 by
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.
Surveillance Capitalism in the New Data Economy
November 23, 2019 by
In this contributed article, Dashiell Pinger, Senior Product Strategy Manager for Data Platforms and Media Solutions at Intertrust Technologies, posits whether privacy and data ethics stand a chance against today’s data economy that seeks to exploit and profit from personal data at every turn.
How Companies Can be Ethical with AI
August 1, 2019 by
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.
