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Our memberships, custom support, and in-depth published research equip you with the reliable information you need to make data-led decisions with measurable success.
Our wealth of resources inspires ideas and new ways of thinking with real-world solutions and the latest trends that drive your business forward.
Discover the latest trends our analysts are covering with live and virtual events packed with practical insights.
We’re committed to helping you get it right. Through trusted expertise, rigorous research, and practical insights, we enable businesses to make confident decisions.
The rapid adoption of generative and agentic AI across customer interactions, decision-making, and enterprise services amplified both innovation and risk. Unsafe AI outputs — ranging from biased content to adversarial misuse — posed immediate threats to user trust, brand reputation, and regulatory compliance.
AI safety quickly became the fastest-growing area within Trust & Safety (T&S) as organizations recognized that, without robust safeguards, emerging technologies could exacerbate existing risks and introduce new challenges.
In this webinar, Everest Group experts explored the dynamic convergence of T&S and Responsible AI, shedding light on the evolving AI safety services market. Attendees gained insights into key use cases, shifting talent requirements, and the transformation of pricing models in this fast-moving space.
The webinar answered key questions, including:
How AI safety services were evolving
How trust and safety intersected with Responsible AI
How talent requirements were changing for AI services and which skills were most in demand
Who attended:
CEOs
CCOs, CIOs, and CTOs
Chief Data Officers (CDOs), Chief AI Officers, Chief Risk Officers (CROs), Chief Compliance Officers (CCOs), and Chief Strategy Officers (CSOs)
IT/BPO strategy leads
Outsourcing and procurement managers / Heads of outsourcing
Global sourcing managers / Procurement heads
Senior marketing executives
Heads/VPs/Directors of Trust and Safety, Content Moderation, and AI Safety
Chiefs or Heads of Responsible AI, AI Product Managers
T&S solutions and practice leads
Heads of data labeling, red teaming, or prompt engineering
Client acquisition heads
Senior sales executives from IT, BPO, and T&S
Vendor managers
Talent and HR leaders focused on AI skill development
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Sign in NowThe rapid adoption of generative and agentic AI across customer interactions, decision-making, and enterprise services amplified both innovation and risk. Unsafe AI outputs — ranging from biased content to adversarial misuse — posed immediate threats to user trust, brand reputation, and regulatory compliance.
AI safety quickly became the fastest-growing area within Trust & Safety (T&S) as organizations recognized that, without robust safeguards, emerging technologies could exacerbate existing risks and introduce new challenges.
In this webinar, Everest Group experts explored the dynamic convergence of T&S and Responsible AI, shedding light on the evolving AI safety services market. Attendees gained insights into key use cases, shifting talent requirements, and the transformation of pricing models in this fast-moving space.
The webinar answered key questions, including:
How AI safety services were evolving
How trust and safety intersected with Responsible AI
How talent requirements were changing for AI services and which skills were most in demand
Who attended:
CEOs
CCOs, CIOs, and CTOs
Chief Data Officers (CDOs), Chief AI Officers, Chief Risk Officers (CROs), Chief Compliance Officers (CCOs), and Chief Strategy Officers (CSOs)
IT/BPO strategy leads
Outsourcing and procurement managers / Heads of outsourcing
Global sourcing managers / Procurement heads
Senior marketing executives
Heads/VPs/Directors of Trust and Safety, Content Moderation, and AI Safety
Chiefs or Heads of Responsible AI, AI Product Managers
T&S solutions and practice leads
Heads of data labeling, red teaming, or prompt engineering
Client acquisition heads
Senior sales executives from IT, BPO, and T&S
Vendor managers
Talent and HR leaders focused on AI skill development